No API in this release is deprecated for removal.
| Since | Deprecated Item and Description |
|---|---|
Returns: a function that computes the sum of the functions.List of functions. f)as of 3.1 replaced by | |
Returns: the composite function.List of functions. f)as of 3.1 replaced by | |
Returns: a function that computes the product of the functions.List of functions. f)as of 3.1 replaced by | |
Returns: converted functionfunction to convert f)this conversion method is temporary in version 3.1, as the | |
Returns: converted functionfunction to convert f)this conversion method is temporary in version 3.1, as the | |
Returns: converted functionfunction to convert f)this conversion method is temporary in version 3.1, as the | |
Returns: converted functionfunction to convert f)this conversion method is temporary in version 3.1, as the | |
Returns: converted functionfunction to convert f)this conversion method is temporary in version 3.1, as the | |
Returns: converted functionfunction to convert f)this conversion method is temporary in version 3.1, as the | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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Deprecated as a consequence of | |
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as of 3.1, replaced by | |
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as of 3.6, this field has been replaced with | |
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As of 3.1 (to be removed in 4.0). Please use
| |
Returns: a function which interpolates the data setthe arguments for the interpolation points xvals, double[] the values for the interpolation points yvals)Deprecated as a consequence of | |
Returns: polynomial that fits the functionx values for interpolation xvals, double[] y values for interpolation yvals, double[] first derivative values of the function firstDerivatives)Deprecated as a consequence of | |
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All the x-coordinates of the interpolation points, sorted
in increasing order. xval, final double[] All the y-coordinates of the interpolation points, sorted
in increasing order. yval, final double[][] The values of the interpolation points on all the grid knots:
fval)fval[i][j] = f(xval[i], yval[j]).Deprecated as a consequence of | |
Returns: interpolation polynomials arrayDeprecated as a consequence of | |
Returns: polynomialpolynomials coefficients c)Deprecated as a consequence of | |
Returns: a function which interpolates the data setthe arguments for the interpolation points x, double[] the values for the interpolation points y)Deprecated as a consequence of | |
Returns: A cubic spline built upon a loess fit to the data at the original abscissaethe arguments for the interpolation points xval, final double[] the values for the interpolation points yval)Deprecated as a consequence of | |
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Code will be removed in 4.0. Use | |
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Code will be removed in 4.0. Use | |
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To be removed in 4.0 (see MATH-1166). | |
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All the x-coordinates of the interpolation points, sorted
in increasing order. xval, final double[] All the y-coordinates of the interpolation points, sorted
in increasing order. yval, final double[][] The values of the interpolation points on all the grid knots:
fval)fval[i][j] = f(xval[i], yval[j]).Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: a function which interpolates the data setthe arguments for the interpolation points x, double[] the values for the interpolation points y)Deprecated as a consequence of | |
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To be removed in 4.0 (see MATH-1166). | |
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To be removed in 4.0 (see MATH-1166). | |
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All the x-coordinates of the interpolation points, sorted
in increasing order. xval, final double[] All the y-coordinates of the interpolation points, sorted
in increasing order. yval, final double[] All the z-coordinates of the interpolation points, sorted
in increasing order. zval, final double[][][] the values of the interpolation points on all the grid knots:
fval)fval[i][j][k] = f(xval[i], yval[j], zval[k]).Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: a new polynomial which is the sum of the instance andp.Polynomial to add. p)Deprecated as a consequence of | |
Returns: a new polynomial equal to this timespPolynomial to multiply by. p)Deprecated as a consequence of | |
Returns: a new polynomial with all coefficients negatedDeprecated as a consequence of | |
Returns: the derivative polynomial.Deprecated as a consequence of | |
Returns: a new polynomial which is the instance minusp.Polynomial to subtract. p)Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Spline segment interval delimiters. knots, PolynomialFunction[] Polynomial functions that make up the spline. polynomials)Deprecated as a consequence of | |
Returns: the interpolating polynomials.Deprecated as a consequence of | |
Returns: the derivative function.Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: coefficients arraydegree of the polynomial degree, final List<BigFraction> list where the computed coefficients are stored coefficients, final PolynomialsUtils.recurrence coefficients generator generatorDeprecated as a consequence of | |
Returns: Chebyshev polynomial of specified degreedegree of the polynomial degree)Deprecated as a consequence of | |
Returns: Hermite polynomial of specified degreedegree of the polynomial degree)Deprecated as a consequence of | |
Returns: Jacobi polynomial of specified degreedegree of the polynomial degree, final int first exponent v, final int second exponent w)Deprecated as a consequence of | |
Returns: Laguerre polynomial of specified degreedegree of the polynomial degree)Deprecated as a consequence of | |
Returns: Legendre polynomial of specified degreedegree of the polynomial degree)Deprecated as a consequence of | |
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Maximum number of evaluations. maxEval, DifferentiableUnivariateFunction Function to solve. f, double Lower bound for the interval. min, double Upper bound for the interval. max, double Start value to use. startValue)Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Maximum number of evaluations. maxEval, PolynomialFunction Function to solve. f, double Lower bound for the interval. min, double Upper bound for the interval. max, double Start value to use. startValue)Deprecated as a consequence of | |
Returns: the point at which the function value is zero.Lower bound of the search interval. lo, double Higher bound of the search interval. hi, double Function value at the lower bound of the search interval. fLo, double Function value at the higher bound of the search interval. fHi)This method should not be part of the public API: It will be made private in version 4.0. | |
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as of 3.1, replaced by | |
Returns: the value where the function is zero.Maximum number of evaluations. maxEval, final DifferentiableUnivariateFunction Function to solve. f, final double Lower bound for the interval. min, final double Upper bound for the interval. max)Deprecated as a consequence of | |
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as of 3.6 replaced with | |
Returns: a value where the function is zero.Maximum number of evaluations. maxEval, final UnivariateDfpFunction Function to solve. f, final Dfp Lower bound for the interval. min, final Dfp Upper bound for the interval. max, final AllowedSolution The kind of solutions that the root-finding algorithm may
accept as solutions. allowedSolution)Deprecated as a consequence of | |
Returns: a value where the function is zero.Maximum number of evaluations. maxEval, final UnivariateDfpFunction Function to solve. f, final Dfp Lower bound for the interval. min, final Dfp Upper bound for the interval. max, final Dfp Start value to use. startValue, final AllowedSolution The kind of solutions that the root-finding algorithm may
accept as solutions. allowedSolution)Deprecated as a consequence of | |
Returns: integer base 10 logarithmas of 3.2, replaced by | |
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As of 3.1, to be removed in 4.0. Please use
| |
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As of 3.1, to be removed in 4.0. Please use the
| |
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As of 3.1, to be removed in 4.0. Please use
| |
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the exclusive lower bound x0, double the inclusive upper bound x1)As of 3.1 (to be removed in 4.0). Please use
| |
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As of 3.1, to be removed in 4.0. Please use the
| |
Returns: the shape parameteras of version 3.1, | |
Returns: the scale parameteras of version 3.1, | |
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to be removed in version 4.0 -
use | |
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the exclusive lower bound x0, double the inclusive upper bound x1) | |
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the exclusive lower bound x0, double the inclusive upper bound x1) | |
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the exclusive lower bound x0, double the inclusive upper bound x1) | |
Returns: the probability that a random variable with this distribution takes a value betweenx0 and x1,
excluding the lower and including the upper endpointthe exclusive lower bound x0, double the inclusive upper bound x1)As of 3.1. In 4.0, this method will be renamed
| |
Returns: true if the lower bound of support is finite and the density function returns a non-NaN, non-infinite value thereto be removed in 4.0 | |
Returns: true if the upper bound of support is finite and the density function returns a non-NaN, non-infinite value thereto be removed in 4.0 | |
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as of 3.2 not used anymore, will be removed in 4.0 | |
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Lower bound of this distribution (inclusive). lower, double Upper bound of this distribution (exclusive). upper, double Inverse cumulative probability accuracy. inverseCumAccuracy)as of 3.2, inverse CDF is now calculated analytically, use
| |
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Random number generator. rng, double Lower bound of this distribution (inclusive). lower, double Upper bound of this distribution (exclusive). upper, double Inverse cumulative probability accuracy. inverseCumAccuracy)as of 3.2, inverse CDF is now calculated analytically, use
| |
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Function to use for the fit. T extends ParametricUnivariateFunction>As of 3.3. Please use | |
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Optimizer to use for the fitting. optimizer)Deprecated as a consequence of | |
Returns: the model function values.Deprecated as a consequence of | |
Returns: the model function Jacobian.Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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As of 3.3. Please use | |
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Optimizer to use for the fitting. optimizer)Deprecated as a consequence of | |
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As of 3.3. Please use | |
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Optimizer to use for the fitting. optimizer)Deprecated as a consequence of | |
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As of 3.3. Please use | |
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Optimizer to use for the fitting. optimizer)Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: a least squares problem that tracks evaluationsthe problem to track. problem, final Incrementor the counter to increment. counter)Deprecated as a consequence of | |
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the list of chromosomes chromosomes)use | |
Returns: length of the intervalas of 3.1, replaced by | |
Returns: lower bound of the intervalas of 3.1, replaced by | |
Returns: midpoint of the intervalas of 3.1, replaced by | |
Returns: upper bound of the intervalas of 3.1, replaced by | |
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as of 3.1 replaced with | |
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lower bound of the interval, must be lesser or equal
to lower, final double upper (may be Double.NEGATIVE_INFINITY)upper bound of the interval, must be greater or equal
to upper)lower (may be Double.POSITIVE_INFINITY)as of 3.3 replaced with | |
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inside/outside BSP tree representing the intervals set tree)as of 3.3, replaced with | |
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collection of boundary elements boundary)as of 3.3, replaced with | |
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location of the hyperplane location, final boolean if true, the plus side of the hyperplane is towards
abscissas greater than direct)locationas of 3.3, replaced with | |
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second vector p)as of 3.3, replaced with | |
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axis around which to rotate axis, final T rotation angle. angle)as of 3.6, replaced with | |
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order of rotations to use order, final T angle of the first elementary rotation alpha1, final T angle of the second elementary rotation alpha2, final T angle of the third elementary rotation alpha3)as of 3.6, replaced with | |
Returns: an array of three angles, in the order specified by the setrotation order to use order)as of 3.6, replaced with | |
Returns: normalized axis of the rotationas of 3.6, replaced with | |
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first point belonging to the line (this can be any point) p1, final Vector3D second point belonging to the line (this can be any point, different from p1) p2)as of 3.3, replaced with | |
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normal direction to the plane normal)as of 3.3, replaced with | |
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point belonging to the plane p, final Vector3D normal direction to the plane normal)as of 3.3, replaced with | |
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first point belonging to the plane p1, final Vector3D second point belonging to the plane p2, final Vector3D third point belonging to the plane p3)as of 3.3, replaced with | |
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as of 3.3, replaced with | |
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inside/outside BSP tree representing the region tree)as of 3.3, replaced with | |
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collection of boundary elements, as a
collection of boundary)SubHyperplane objectsas of 3.3, replaced with | |
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low bound along the x direction xMin, final double high bound along the x direction xMax, final double low bound along the y direction yMin, final double high bound along the y direction yMax, final double low bound along the z direction zMin, final double high bound along the z direction zMax)as of 3.3, replaced with | |
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axis around which to rotate axis, double rotation angle. angle)as of 3.6, replaced with | |
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order of rotations to use order, double angle of the first elementary rotation alpha1, double angle of the second elementary rotation alpha2, double angle of the third elementary rotation alpha3)as of 3.6, replaced with | |
Returns: an array of three angles, in the order specified by the setrotation order to use order)as of 3.6, replaced with | |
Returns: normalized axis of the rotationas of 3.6, replaced with | |
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start point start, final Vector3D end point end)as of 3.3, replaced with | |
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first point p1, final Vector2D second point p2)as of 3.3, replaced with | |
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point belonging to the line p, final double angle of the line with respect to abscissa axis angle)as of 3.3, replaced with | |
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affine transform to embed (must be inversible
otherwise the transform)apply(Hyperplane) method would work only for some lines, and
fail for other ones)as of 3.6, replaced with | |
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as of 3.3, replaced with | |
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inside/outside BSP tree representing the region tree)as of 3.3, replaced with | |
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collection of boundary elements, as a
collection of boundary)SubHyperplane objectsas of 3.3, replaced with | |
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low bound along the x direction xMin, final double high bound along the x direction xMax, final double low bound along the y direction yMin, final double high bound along the y direction yMax)as of 3.3, replaced with | |
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start point start, final Vector2D end point end)as of 3.3, replaced with | |
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reference hyperplane hyperplane)
| |
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hyperplane to check instance against hyper)
| |
Returns: the tree cell to which the point belongspoint to check point)as of 3.3, replaced with | |
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parent tree to connect to (may be null) parentTree, final boolean if true and if parentTree is not null, the
resulting tree should be the plus child of its parent, ignored if
parentTree is null isPlusChild)as of 3.4, replaced with | |
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part of the node cut sub-hyperplane that
belongs to the boundary and has the outside of the region on
the plus side of its underlying hyperplane (may be null) plusOutside, final SubHyperplane<S> part of the node cut sub-hyperplane that
belongs to the boundary and has the inside of the region on the
plus side of its underlying hyperplane (may be null) plusInside)as of 3.4, the constructor has been replaced by a new one
which is not public anymore, as it is intended to be used only by
| |
Returns: one ofSide., Side., Side. or Side. (the latter result can occur only if the tree
contains only one cut hyperplane)reference hyperplane hyperplane)as of 3.6, this method which was only intended for internal use is not used anymore | |
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hyperplane to check instance against hyperplane)as of 3.6, replaced with | |
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the type of the elements T extends Comparableas of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math | |
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as of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math | |
Returns: a negative integer if the instance is less than the object, zero if they are equal, or a positive integer if the instance is greater than the objectT-uple to compare instance with ot)Deprecated as a consequence of | |
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arc to check instance against arc)as of 3.6, replaced with | |
Returns: a new arrayfield to which array elements belong field, final int number of rows rows, final int number of columns (may be negative to build partial
arrays in the same way columns)new Field[rows][] works)as of 3.2, replaced by | |
Returns: a new arrayfield to which array elements belong field, final int of the array length)as of 3.2, replaced by | |
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First vector (will be put in front of the new vector). v1, ArrayFieldVector<T> Second vector (will be put at back of the new vector). v2)as of 3.2, replaced by | |
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First vector (will be put in front of the new vector). v1, T[] Second vector (will be put at back of the new vector). v2)as of 3.2, replaced by | |
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First vector (will be put in front of the new vector). v1, ArrayFieldVector<T> Second vector (will be put at back of the new vector). v2)as of 3.2, replaced by | |
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Matrix to decompose. matrix, final double Dummy parameter (present for backward
compatibility only). splitTolerance)in 3.1 (to be removed in 4.0) due to unused parameter | |
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Main diagonal of the symmetric tridiagonal form. main, final double[] Secondary of the tridiagonal form. secondary, final double Dummy parameter (present for backward
compatibility only). splitTolerance)in 3.1 (to be removed in 4.0) due to unused parameter | |
Returns: T array of entriesas of 3.1, to be removed in 4.0. Please use the | |
Returns: the dot product of this vector withv.Vector. v)as of 3.1 (to be removed in 4.0). The computation is performed by the parent class. The method must be kept to maintain backwards compatibility. | |
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as of 3.1, to be removed in 4.0. Please use the | |
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Deprecated as a consequence of | |
Returns: evaluations counteras of 3.6 replaced with | |
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as of 3.6 this unused interface is deprecated | |
Returns: number of steps of the method (excluding the one being computed)as of 3.6, this method is not used anymore | |
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Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: a counter for the evaluations.Deprecated as a consequence of | |
Returns: a counter for the evaluations.Deprecated as a consequence of | |
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As of v3.3, this class is not used anymore.
This setting is replaced by the | |
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formula to use for updating the β parameter,
must be one of updateFormula,Formula#FLETCHER_REEVES or
Formula#POLAK_RIBIERE.Convergence checker. checker, final UnivariateSolver Solver to use during line search. lineSearchSolver)as of 3.3. Please use
| |
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formula to use for updating the β parameter,
must be one of updateFormula,Formula#FLETCHER_REEVES or
Formula#POLAK_RIBIERE.Convergence checker. checker, final UnivariateSolver Solver to use during line search. lineSearchSolver, final Preconditioner Preconditioner. preconditioner)as of 3.3. Please use
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
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Single-start optimizer to wrap. optimizer, final int Number of starts to perform.
If starts, final RandomVectorGenerator starts == 1, the result will be same as if optimizer
is called directly.Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
org.
All classes and interfaces in this package are deprecated.
The optimizers that were provided here were moved to the
| |
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Type of (point, value) pair. PAIR>As of 3.1 (to be removed in 4.0). | |
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in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798). | |
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in 3.1 (to be removed in 4.0) because this value is too small to be useful as a default (cf. MATH-798). | |
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in 3.1 (to be removed in 4.0) because this value is too small to be useful as a default (cf. MATH-798). | |
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Type of the objective function to be optimized. FUNC extends MultivariateFunction>As of 3.1 (to be removed in 4.0). | |
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Single-start optimizer to wrap. optimizer, final int Number of starts to perform. If starts, final RandomVectorGenerator starts == 1,
the optimize will return the same solution as optimizer would.Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: an array containing the optima.Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Maximum number of function evaluations. maxEval, final FUNC Objective function. f, final GoalType Type of optimization goal: either
goal, double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Goal type. goal)Deprecated as a consequence of | |
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Type of the objective function to be optimized. FUNC extends MultivariateFunction>As of 3.1 (to be removed in 4.0). | |
Returns: the point/value pair giving the optimal value for objective function.Maximum number of function evaluations. maxEval, FUNC Objective function. f, GoalType Type of optimization goal: either
goalType, double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)As of 3.1. In 4.0, it will be replaced by the declaration
corresponding to this | |
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Type of the objective function to be optimized. FUNC extends MultivariateFunction>As of 3.1 (to be removed in 4.0). | |
Returns: the point/value pair giving the optimal value for objective function.Maximum number of function evaluations. maxEval, FUNC Objective function. f, GoalType Type of optimization goal: either
goalType, double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint, double[] Lower bound for each of the parameters. lowerBound, double[] Upper bound for each of the parameters. upperBound)Deprecated as a consequence of | |
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Type of the objective function to be optimized. FUNC extends MultivariateVectorFunction>As of 3.1 (to be removed in 4.0). | |
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Single-start optimizer to wrap. optimizer, final int Number of starts to perform. If starts, final RandomVectorGenerator starts == 1,
the optimize will return the same solution as optimizer would.Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: array containing the optimaDeprecated as a consequence of | |
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Deprecated as a consequence of | |
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Maximum number of function evaluations. maxEval, final FUNC Objective function. f, double[] Target value for the objective functions at optimum. target, double[] Weights for the least squares cost computation. weights, double[] Start point for optimization. startPoint)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
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Type of the objective function to be optimized. FUNC extends MultivariateVectorFunction>As of 3.1 (to be removed in 4.0). | |
Returns: the point/value pair giving the optimal value for objective function.Maximum number of function evaluations. maxEval, FUNC Objective function. f, double[] Target value for the objective functions at optimum. target, double[] Weights for the least squares cost computation. weight, double[] Start point for optimization. startPoint)As of 3.1. In 4.0, this will be replaced by the declaration
corresponding to this | |
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Type of the point/objective pair. PAIR>As of 3.1 (to be removed in 4.0). | |
Returns: the object used to check for convergence.Deprecated as a consequence of | |
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Type of the (point, objective value) pair. PAIR>As of 3.1 (to be removed in 4.0). | |
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As of 3.1 (to be removed in 4.0). | |
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Single-start optimizer to wrap. optimizer, final int Number of starts to perform (including the
first one), multi-start is disabled if value is less than or
equal to 1. starts, final RandomVectorGenerator Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
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Single-start optimizer to wrap. optimizer, final int Number of starts to perform (including the
first one), multi-start is disabled if value is less than or
equal to 1. starts, final RandomVectorGenerator Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
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As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Single-start optimizer to wrap. optimizer, final int Number of starts to perform (including the
first one), multi-start is disabled if value is less than or
equal to 1. starts, final RandomVectorGenerator Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Single-start optimizer to wrap. optimizer, final int Number of starts to perform (including the
first one), multi-start is disabled if value is less than or
equal to 1. starts, final RandomVectorGenerator Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Single-start optimizer to wrap. optimizer, final int Number of starts to perform (including the
first one), multi-start is disabled if value is less than or
equal to 1. starts, final RandomVectorGenerator Random vector generator to use for restarts. generator)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Type of the (point, value) pair.
The type of the "value" part of the pair (not used by this class). PAIR extends PairAs of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
Returns: true if the algorithm has converged.Index of current iteration iteration, final PointValuePair Best point in the previous iteration. previous, final PointValuePair Best point in the current iteration. current)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
Returns: true if the arguments satify the convergence criterion.Index of current iteration iteration, final PointVectorValuePair Best point in the previous iteration. previous, final PointVectorValuePair Best point in the current iteration. current)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
Returns: the point at locationindex.Location. index)Deprecated as a consequence of | |
Returns: all the simplex points.Deprecated as a consequence of | |
org.
Point to insert. pointValuePair, final Comparator<PointValuePair> Comparator to use for sorting the simplex vertices
from best to worst. comparator)Deprecated as a consequence of | |
org.
Location. index, PointValuePair New value. point)Deprecated as a consequence of | |
org.
New Points. points)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Deprecated as a consequence of | |
org.
Type of the objective function to be optimized. FUNC extends MultivariateFunction>As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the point/value pair giving the optimal value of the objective function.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the optimization type.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, FUNC Objective function. f, GoalType Type of optimization goal: either
goalType, double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)As of 3.1. Please use
| |
Returns: the point/value pair giving the optimal value of the objective function.Allowed number of evaluations of the objective function. maxEval, FUNC Objective function. f, GoalType Optimization type. goalType, OptimizationData... Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
Returns: the point/value pair giving the optimal value for objective function.Maximum number of function evaluations. maxEval, FUNC Objective function. f, GoalType Type of optimization goal: either
goalType, double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)As of 3.1. Please use
| |
Returns: the point/value pair giving the optimal value of the objective function.Allowed number of evaluations of the objective function. maxEval, FUNC Objective function. f, GoalType Optimization type. goalType, OptimizationData... Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
Type of the objective function to be optimized. FUNC extends MultivariateFunction>As of 3.1 since the | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, FUNC Objective function. f, GoalType Type of optimization goal: either
goalType, double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, FUNC Objective function. f, GoalType Type of optimization goal: either
goalType, double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint, double[] Lower bound for each of the parameters. lower, double[] Upper bound for each of the parameters. upper)Deprecated as a consequence of | |
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the type of the objective function to be optimized FUNC extends MultivariateVectorFunction>As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the point/value pair giving the optimal value for the objective function.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: a reference to thearray.As of 3.1. | |
Returns: a reference to thearray.As of 3.1. | |
org.
Maximum number of function evaluations. maxEval, FUNC Objective function. f, double[] Target value for the objective functions at optimum. t, double[] Weights for the least squares cost computation. w, double[] Start point for optimization. startPoint)As of 3.1. Please use
| |
Returns: the point/value pair giving the optimal value of the objective function.Allowed number of evaluations of the objective function. maxEval, FUNC Objective function. f, OptimizationData... Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
Returns: the point/value pair giving the optimal value for objective function.Maximum number of function evaluations. maxEval, final FUNC Objective function. f, final double[] Target value for the objective functions at optimum. t, final double[] Weights for the least squares cost computation. w, final double[] Start point for optimization. startPoint)As of 3.1. Please use
| |
Returns: the point/value pair giving the optimal value of the objective function.Allowed number of evaluations of the objective function. maxEval, FUNC Objective function. f, OptimizationData... Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of version 3.1: Parameter | |
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Population size. lambda)As of version 3.1: Parameter | |
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Population size. lambda, double[] Initial standard deviations to sample new points
around the initial guess. inputSigma)As of version 3.1: Parameters | |
org.
Population size. lambda, double[] Initial standard deviations to sample new points
around the initial guess. inputSigma, int Maximal number of iterations. maxIterations, double Whether to stop if objective function value is smaller than
stopFitness, boolean stopFitness.Chooses the covariance matrix update method. isActiveCMA, int Number of initial iterations, where the covariance matrix
remains diagonal. diagonalOnly, int Determines how often new random objective variables are
generated in case they are out of bounds. checkFeasableCount, RandomGenerator Random generator. random, boolean Whether statistic data is collected. generateStatistics) | |
org.
Population size. lambda, double[] Initial standard deviations to sample new points
around the initial guess. inputSigma, int Maximal number of iterations. maxIterations, double Whether to stop if objective function value is smaller than
stopFitness, boolean stopFitness.Chooses the covariance matrix update method. isActiveCMA, int Number of initial iterations, where the covariance matrix
remains diagonal. diagonalOnly, int Determines how often new random objective variables are
generated in case they are out of bounds. checkFeasableCount, RandomGenerator Random generator. random, boolean Whether statistic data is collected. generateStatistics, ConvergenceChecker<PointValuePair> Convergence checker. checker)As of version 3.1: Parameters | |
org.
Maximal number of iterations. maxIterations, double Whether to stop if objective function value is smaller than
stopFitness, boolean stopFitness.Chooses the covariance matrix update method. isActiveCMA, int Number of initial iterations, where the covariance matrix
remains diagonal. diagonalOnly, int Determines how often new random objective variables are
generated in case they are out of bounds. checkFeasableCount, RandomGenerator Random generator. random, boolean Whether statistic data is collected. generateStatistics, ConvergenceChecker<PointValuePair> Convergence checker. checker)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the point/value pair giving the optimal value for objective function.Allowed number of evaluations of the objective function. maxEval, MultivariateFunction Objective function. f, GoalType Optimization type. goalType, OptimizationData... Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
Returns: the best point in the transformed simplex.Evaluation function. evaluationFunction, final PointValuePair[] Original simplex (to be preserved). original, final double Linear coefficient. coeff, final Comparator<PointValuePair> Comparator to use to sort simplex vertices from best
to poorest. comparator)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Deprecated as a consequence of | |
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Deprecated as a consequence of | |
Returns: the optimum.Starting point. p, final double[] Search direction. d)Deprecated as a consequence of | |
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Relative threshold. rel, double Absolute threshold. abs, ConvergenceChecker<PointValuePair> Convergence checker. checker)Deprecated as a consequence of | |
org.
Relative threshold for this optimizer. rel, double Absolute threshold for this optimizer. abs, double Relative threshold for the internal line search optimizer. lineRel, double Absolute threshold for the internal line search optimizer. lineAbs, ConvergenceChecker<PointValuePair> Convergence checker. checker)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the point/value pair giving the optimal value for objective function.Allowed number of evaluations of the objective function. maxEval, MultivariateFunction Objective function. f, GoalType Optimization type. goalType, OptimizationData... Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
Simplex. simplex)As of 3.1. The initial simplex can now be passed as an
argument of the | |
org.
Deprecated as a consequence of | |
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Function to use for the fit. T extends ParametricUnivariateFunction>As of 3.1 (to be removed in 4.0). | |
org.
optimizer to use for the fitting optimizer)as of 3.1 replaced by | |
org.
optimizer to use for the fitting optimizer)Deprecated as a consequence of | |
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observed point to add observed)Deprecated as a consequence of | |
Returns: observed pointsDeprecated as a consequence of | |
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as of 3.1 replaced by | |
org.
Deprecated as a consequence of | |
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As of 3.1 (to be removed in 4.0). | |
org.
Optimizer to use for the fitting. optimizer)Deprecated as a consequence of | |
org.
Observed points from which to guess the
parameters of the Gaussian. observations)Deprecated as a consequence of | |
Returns: the guessed parameters (normalization factor, mean and sigma).Observed points, sorted. points)Deprecated as a consequence of | |
Returns: the index in specified points array.Points to search. points)Deprecated as a consequence of | |
Returns: the array containing two points suitable for determining X at the specified Y.Points to use for interpolation. points, int Index within points from which to start search for
interpolation bounds points. startIdx, int Index step for search for interpolation bounds points. idxStep, double Y value for which X should be determined. y)Deprecated as a consequence of | |
Returns: the value of X for the specified Y.Points to use for interpolation. points, int Index within points from which to start the search for
interpolation bounds points. startIdx, int Index step for searching interpolation bounds points. idxStep, double Y value for which X should be determined. y)Deprecated as a consequence of | |
Returns: the input observations, sorted.Input observations. unsorted)Deprecated as a consequence of | |
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As of 3.1 (to be removed in 4.0). | |
org.
Optimizer to use for the fitting. optimizer)Deprecated as a consequence of | |
org.
Sampled observations. observations)Deprecated as a consequence of | |
Returns: the guessed amplitude (at index 0) and circular frequency (at index 1).Observations, sorted w.r.t. abscissa. observations)Deprecated as a consequence of | |
Returns: the guessed phase.Observations, sorted w.r.t. abscissa. observations)Deprecated as a consequence of | |
Returns: the input observations, sorted.Input observations. unsorted)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Maximal degree of the polynomial. degree, final DifferentiableMultivariateVectorOptimizer Optimizer to use for the fitting. optimizer)Since 3.1 (to be removed in 4.0). Please use
| |
org.
Optimizer to use for the fitting. optimizer)Deprecated as a consequence of | |
Returns: the coefficients of the polynomial that best fits the observed points.Since 3.1 (to be removed in 4.0). Please use | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, final MultivariateDifferentiableFunction Objective function. f, final GoalType Type of optimization goal: either
goalType, final double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)In 3.1. Please use
| |
org.
Allowed number of evaluations of the objective function. maxEval, final MultivariateDifferentiableFunction Objective function. f, final GoalType Optimization type. goalType, final OptimizationData... Optimization data. The following data will be looked for:
optData)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
As of 3.1. Field to become "private" in 4.0.
Please use | |
Returns: the covariance matrix.As of 3.1. Please use | |
Returns: the covariance matrix.Singularity threshold. threshold)As of 3.1. Please use | |
Returns: an estimate of the standard deviation of the optimized parametersas of version 3.1, | |
org.
Maximum number of function evaluations. maxEval, final DifferentiableMultivariateVectorFunction Objective function. f, final double[] Target value for the objective functions at optimum. target, final double[] Weights for the least squares cost computation. weights, final double[] Start point for optimization. startPoint)As of 3.1. Please use
| |
Returns: the point/value pair giving the optimal value for objective function.Maximum number of function evaluations. maxEval, final MultivariateDifferentiableVectorFunction Objective function. f, final double[] Target value for the objective functions at optimum. target, final double[] Weights for the least squares cost computation. weights, final double[] Start point for optimization. startPoint)As of 3.1. Please use
| |
Returns: the point/value pair giving the optimal value of the objective function.Allowed number of evaluations of the objective function. maxEval, final MultivariateDifferentiableVectorFunction Objective function. f, OptimizationData... Optimization data. The following data will be looked for:
optData)As of 3.1. Override is necessary only until this class's generic
argument is changed to | |
org.
As of 3.1. Please use | |
org.
As of 3.1. To be removed in 4.0. Please use
| |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
Returns: the point/value pair giving the optimal value for objective function.Maximum number of function evaluations. maxEval, final MultivariateDifferentiableFunction Objective function. f, final GoalType Type of optimization goal: either
goalType, final double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, final DifferentiableMultivariateFunction Objective function. f, final GoalType Type of optimization goal: either
goalType, final double[] GoalType#MAXIMIZE or GoalType#MINIMIZE.Start point for optimization. startPoint)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
If useLU)true, the normal equations will be solved
using LU decomposition, otherwise they will be solved using QR
decomposition. | |
org.
If useLU, ConvergenceChecker<PointVectorValuePair> true, the normal equations will be solved
using LU decomposition, otherwise they will be solved using QR
decomposition.Convergence checker. checker)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Convergence checker. checker)Deprecated as a consequence of | |
org.
Positive input variable used in
determining the initial step bound. This bound is set to the
product of initialStepBoundFactor and the euclidean norm of
initialStepBoundFactor, ConvergenceChecker<PointVectorValuePair> diag * x if non-zero, or else to initialStepBoundFactor
itself. In most cases factor should lie in the interval
(0.1, 100.0). 100 is a generally recommended value.Convergence checker. checker, double Desired relative error in the sum of
squares. costRelativeTolerance, double Desired relative error in the approximate
solution parameters. parRelativeTolerance, double Desired max cosine on the orthogonality between
the function vector and the columns of the Jacobian. orthoTolerance, double Desired threshold for QR ranking. If the squared norm
of a column vector is smaller or equal to this threshold during QR
decomposition, it is considered to be a zero vector and hence the rank
of the matrix is reduced. threshold)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Deprecated as a consequence of | |
org.
formula to use for updating the β parameter,
must be one of updateFormula)ConjugateGradientFormula#FLETCHER_REEVES or ConjugateGradientFormula#POLAK_RIBIERE. | |
org.
formula to use for updating the β parameter,
must be one of updateFormula, ConvergenceChecker<PointValuePair> ConjugateGradientFormula#FLETCHER_REEVES or ConjugateGradientFormula#POLAK_RIBIERE.Convergence checker. checker)Deprecated as a consequence of | |
org.
formula to use for updating the β parameter,
must be one of updateFormula, ConvergenceChecker<PointValuePair> ConjugateGradientFormula#FLETCHER_REEVES or ConjugateGradientFormula#POLAK_RIBIERE.Convergence checker. checker, final UnivariateSolver Solver to use during line search. lineSearchSolver)Deprecated as a consequence of | |
org.
formula to use for updating the β parameter,
must be one of updateFormula, ConvergenceChecker<PointValuePair> ConjugateGradientFormula#FLETCHER_REEVES or ConjugateGradientFormula#POLAK_RIBIERE.Convergence checker. checker, final UnivariateSolver Solver to use during line search. lineSearchSolver, final Preconditioner Preconditioner. preconditioner)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
Returns: the point/value pair giving the optimal value for objective functionDeprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the optimization type.Deprecated as a consequence of | |
Returns: the optimization type.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
linear objective function f, final Collection<LinearConstraint> linear constraints constraints, final GoalType type of optimization goal: either goalType, final boolean GoalType#MAXIMIZE or GoalType#MINIMIZEwhether to restrict the variables to non-negative values restrictToNonNegative)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
The coefficients of the constraint (left hand side) coefficients, final Relationship The type of (in)equality used in the constraint relationship, final double The value of the constraint (right hand side) value)Deprecated as a consequence of | |
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The coefficients of the constraint (left hand side) coefficients, final Relationship The type of (in)equality used in the constraint relationship, final double The value of the constraint (right hand side) value)Deprecated as a consequence of | |
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The coefficients of the linear expression on the left hand side of the constraint lhsCoefficients, final double The constant term of the linear expression on the left hand side of the constraint lhsConstant, final Relationship The type of (in)equality used in the constraint relationship, final double[] The coefficients of the linear expression on the right hand side of the constraint rhsCoefficients, final double The constant term of the linear expression on the right hand side of the constraint rhsConstant)Deprecated as a consequence of | |
org.
The coefficients of the linear expression on the left hand side of the constraint lhsCoefficients, final double The constant term of the linear expression on the left hand side of the constraint lhsConstant, final Relationship The type of (in)equality used in the constraint relationship, final RealVector The coefficients of the linear expression on the right hand side of the constraint rhsCoefficients, final double The constant term of the linear expression on the right hand side of the constraint rhsConstant)Deprecated as a consequence of | |
Returns: relationship between left and right hand sidesDeprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
Returns: point/value pair giving the optimal value for objective functionlinear objective function f, Collection<LinearConstraint> linear constraints constraints, GoalType type of optimization goal: either goalType, boolean GoalType#MAXIMIZE or GoalType#MINIMIZEwhether to restrict the variables to non-negative values restrictToNonNegative)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: relationship obtained when multiplying all coefficients by -1Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
simple tableau for the problem tableau)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: column with the most negative coefficientsimple tableau for the problem tableau)Deprecated as a consequence of | |
Returns: row with the minimum ratiosimple tableau for the problem tableau, final int the column to test the ratio of. See col)getPivotColumn(SimplexTableau)Deprecated as a consequence of | |
org.
simple tableau for the problem tableau)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
linear objective function f, final Collection<LinearConstraint> linear constraints constraints, final GoalType type of optimization goal: either goalType, final boolean GoalType#MAXIMIZE or GoalType#MINIMIZEwhether to restrict the variables to non-negative values restrictToNonNegative, final double amount of error to accept when checking for optimality epsilon)Deprecated as a consequence of | |
org.
linear objective function f, final Collection<LinearConstraint> linear constraints constraints, final GoalType type of optimization goal: either goalType, final boolean GoalType#MAXIMIZE or GoalType#MINIMIZEwhether to restrict the variables to non-negative values restrictToNonNegative, final double amount of error to accept when checking for optimality epsilon, final int amount of error to accept in floating point comparisons maxUlps)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: number of constraint with the specified relationshiprelationship to count relationship)Deprecated as a consequence of | |
Returns: current solutionDeprecated as a consequence of | |
Returns: new equationreference constraint constraint)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Convergence checking procedure. checker)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the optimum and its corresponding function value.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: the optimization type.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, UnivariateFunction Function to optimize. f, GoalType Type of optimization goal: either
goalType, double GoalType#MAXIMIZE or GoalType#MINIMIZE.Lower bound for the interval. min, double Upper bound for the interval. max, double Start value to use. startValue)Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, UnivariateFunction Function to optimize. f, GoalType Type of optimization goal: either
goalType, double GoalType#MAXIMIZE or GoalType#MINIMIZE.Lower bound for the interval. min, double Upper bound for the interval. max)Deprecated as a consequence of | |
org.
Type of the objective function to be optimized. FUNC extends UnivariateFunction>As of 3.1 (to be removed in 4.0). | |
Returns: a (point, value) pair where the function is optimum.Maximum number of function evaluations. maxEval, FUNC Function to optimize. f, GoalType Type of optimization goal: either
goalType, double GoalType#MAXIMIZE or GoalType#MINIMIZE.Lower bound for the interval. min, double Upper bound for the interval. max)Deprecated as a consequence of | |
Returns: a (point, value) pair where the function is optimum.Maximum number of function evaluations. maxEval, FUNC Function to optimize. f, GoalType Type of optimization goal: either
goalType, double GoalType#MAXIMIZE or GoalType#MINIMIZE.Lower bound for the interval. min, double Upper bound for the interval. max, double Start value to use. startValue)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Deprecated as a consequence of | |
org.
Function whose optimum should be bracketed. func, GoalType goal, double Initial point. xA, double Initial point. xB)Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
org.
Relative threshold. rel, double Absolute threshold. abs, ConvergenceChecker<UnivariatePointValuePair> Additional, user-defined, convergence checking
procedure. checker)Deprecated as a consequence of | |
Returns: the best point, ornull if a and b are
both null. When a and b have the same function
value, a is returned.Point and value. a, UnivariatePointValuePair Point and value. b, boolean true if the selected point must be the one with
the lowest value.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
As of 3.1 (to be removed in 4.0). | |
Returns: true if the algorithm has converged.Index of current iteration iteration, final UnivariatePointValuePair Best point in the previous iteration. previous, final UnivariatePointValuePair Best point in the current iteration. current)Deprecated as a consequence of | |
org.
Type of the objective function to be optimized. FUNC extends UnivariateFunction>As of 3.1 (to be removed in 4.0). | |
org.
Single-start optimizer to wrap. optimizer, final int Number of starts to perform. If starts, final RandomGenerator starts == 1,
the optimize methods will return the same solution as
optimizer would.Random generator to use for restarts. generator)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
Returns: an array containing the optima.Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
org.
Maximum number of function evaluations. maxEval, final FUNC Function to optimize. f, final GoalType Type of optimization goal: either
goal, final double GoalType#MAXIMIZE or GoalType#MINIMIZE.Lower bound for the interval. min, final double Upper bound for the interval. max)Deprecated as a consequence of | |
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Maximum number of function evaluations. maxEval, final FUNC Function to optimize. f, final GoalType Type of optimization goal: either
goal, final double GoalType#MAXIMIZE or GoalType#MINIMIZE.Lower bound for the interval. min, final double Upper bound for the interval. max, final double Start value to use. startValue)Deprecated as a consequence of | |
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Deprecated as a consequence of | |
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Goal type. goal)Deprecated as a consequence of | |
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As of 3.1 (to be removed in 4.0). | |
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As of 3.1 (to be removed in 4.0). | |
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number of bins binCount, RandomDataImpl random data generator (may be null, resulting in default JDK generator) randomData)As of 3.1. Please use | |
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random data generator (may be null, resulting in default JDK generator) randomData)As of 3.1. Please use | |
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number of bins. Must be strictly positive. binCount, RandomDataGenerator Random data generator. randomData)Deprecated as a consequence of | |
org.
Deprecated as a consequence of | |
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to be removed in 4.0. Use | |
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Deprecated as a consequence of | |
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to be removed in 4.0. Use | |
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Deprecated as a consequence of | |
Returns: the delegate object.To be removed in 4.0. | |
Returns: a random value sampled from the given distributionContinuous distribution to generate a random value from distribution)use the distribution's sample() method | |
Returns: a random value sampled from the given distributionInteger distribution to generate a random value from distribution)use the distribution's sample() method | |
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the RandomDataImpl instance used to source random data randomData) | |
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Deprecated as a consequence of | |
Returns: log(B(a, b)).Parameter a, double a.Parameter b, double b.This parameter is ignored. epsilon, int This parameter is ignored. maxIterations)as of version 3.1, this method is deprecated as the
computation of the beta function is no longer iterative; it will be
removed in version 4.0. Current implementation of this method
internally calls | |
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the type of points that can be clustered T extends ClusterableAs of 3.2 (to be removed in 4.0),
use | |
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the type of point that can be clustered T>As of 3.2 (to be removed in 4.0),
use | |
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type of the points to cluster T extends ClusterableAs of 3.2 (to be removed in 4.0),
use | |
Returns: the expanded clusterCluster to expand cluster, final T Point to add to cluster point, final List<T> List of neighbors neighbors, final Collection<T> the data set points, final Map<Clusterable<T>, DBSCANClusterer.the set of already visited points visitedDeprecated as a consequence of | |
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As of 3.2 (to be removed in 4.0),
use | |
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the Collection of points to compute the centroid of points)Deprecated as a consequence of | |
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the point to compute the distance from p)Deprecated as a consequence of | |
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As of 3.2 (to be removed in 4.0),
use | |
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the Collection of points to compute the centroid of points)Deprecated as a consequence of | |
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the point to compute the distance from p)Deprecated as a consequence of | |
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type of the points to cluster T extends ClusterableAs of 3.2 (to be removed in 4.0),
use | |
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Percentile to copy source, final Percentile Percentile to copy to dest)as of 3.4 this method does not work anymore, as it fails to
copy internal states between instances configured with different
| |
Returns: the index of the median element chosen between the first, the middle and the last element of the array slicedata array work, final int index of the first element of the slice begin, final int index after the last element of the slice end)Please refrain from using this method (as it wont take effect)
and instead use | |
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random data generator used by rng)monteCarloP(double, int, int, boolean, int)
| |
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Deprecated as a consequence of | |
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array where to copy data mdcmDeprecated as a consequence of | |
Returns: transform ofmdca as a Multi-Dimensional Complex Array, i.e. Complex[][][][]Multi-Dimensional Complex Array, i.e. mdca, TransformType Complex[][][][]the type of transform (forward, inverse) to be performed type)see MATH-736 | |
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input matrix mdcm,the type of transform (forward, inverse) to be performed type, int index of the dimension to process d, int[] recursion subvector subVector)see MATH-736 | |
Returns: n choose kthe size of the set n, final int the size of the subsets to be counted k) | |
Returns: n choose kthe size of the set n, final int the size of the subsets to be counted k) | |
Returns: n choose kthe size of the set n, final int the size of the subsets to be counted k) | |
Returns: n!argument n) | |
Returns: n!Argument. n) | |
Returns: n!Argument. n) | |
Returns: keNumber to raise. k, long Exponent (must be positive or zero). e)As of 3.3. Please use | |
Returns: keNumber to raise. k, long Exponent (must be positive or zero). e)As of 3.3. Please use | |
Returns: S(n,k)the size of the set n, final int the number of non-empty subsets k) | |
Returns: an incrementor wrapping anIntegerSequence.wrapped incrementorIntegerSequence.Deprecated as a consequence of | |
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the maximum number of iterations maxIterations, final Incrementor.the function to be called when the maximum number of
iterations has been reached callBackas of 3.6, replaced with | |
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As of 3.1. Please use | |
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As of 3.1. Please use | |
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Initial size of the internal storage array. initialCapacity, float The array will be expanded based on this
parameter. expansionFactor)As of 3.1. Please use
| |
org.
Initial size of the internal storage array.. initialCapacity, float The array will be expanded based on this
parameter. expansionFactor, float Contraction criteria. contractionCriteria)As of 3.1. Please use
| |
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the initial size of the internal storage array initialCapacity, float the array will be expanded based on this
parameter expansionFactor, float the contraction Criteria contractionCriteria, int the expansion mode expansionMode)As of 3.1. Please use
| |
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criteria to be checked contraction, float factor to be checked expansion)As of 3.1. Please use
| |
Returns: the contraction criteria used to reclaim memory.As of 3.1. Please use | |
Returns: the expansion factor of this expandable double arrayAs of 3.1. Return type will be changed to "double" in 4.0. | |
Returns: the expansion mode.As of 3.1. Return value to be changed to
| |
Returns: the length of the internal storage array.As of 3.1. Please use | |
Returns: the internal storage array used by this objectAs of 3.1. | |
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contraction criteria contractionCriteria)As of 3.1 (to be removed in 4.0 as field will become "final"). | |
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the new expansion factor value. expansionFactor)As of 3.1 (to be removed in 4.0 as field will become "final"). | |
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The expansionMode to set. expansionMode)As of 3.1. Please use | |
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Expansion mode to use for resizing the array. expansionModeAs of 3.1 (to be removed in 4.0 as field will become "final"). | |
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of the array initialCapacity)As of 3.1, this is a no-op. | |