| Modifier and Type | Field and Description |
|---|---|
| private static final double | DEFAULT_ABSOLUTE_ACCURACY
Default absolute accuracy. |
| Access | Constructor and Description |
|---|---|
| public | |
| public |
| Modifier and Type | Method and Description |
|---|---|
| protected double | doSolve()
Implements abstract org. Method for implementing actual optimization algorithms in derived classes. |
| public double | Returns: the value where the function is zero.Maximum number of evaluations. maxEval, final UnivariateDifferentiableFunction Function to solve. f, final double Lower bound for the interval. min, final double Upper bound for the interval. max)Overrides org. Implements org. Find a zero near the midpoint of |
| DEFAULT_ABSOLUTE_ACCURACY | back to summary |
|---|---|
| private static final double DEFAULT_ABSOLUTE_ACCURACY Default absolute accuracy. | |
| NewtonRaphsonSolver | back to summary |
|---|---|
| public NewtonRaphsonSolver() Construct a solver. | |
| NewtonRaphsonSolver | back to summary |
|---|---|
| public NewtonRaphsonSolver(double absoluteAccuracy) Construct a solver.
| |
| doSolve | back to summary |
|---|---|
| protected double doSolve() throws TooManyEvaluationsException Implements abstract org. Doc from org. Method for implementing actual optimization algorithms in derived classes.
| |
| solve | back to summary |
|---|---|
| public double solve(int maxEval, final UnivariateDifferentiableFunction f, final double min, final double max) throws TooManyEvaluationsException Overrides org. Implements org. Find a zero near the midpoint of
| |