org.apache.commons.math3.analysis.solvers

Class NewtonRaphsonSolver

java.lang.Object

org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction>

org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver

org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver

All Implemented Interfaces:

BaseUnivariateSolver<UnivariateDifferentiableFunction>, UnivariateDifferentiableSolver

public class NewtonRaphsonSolver
extends AbstractUnivariateDifferentiableSolver

Implements Newton's Method for finding zeros of real univariate differentiable functions.

Since:

3.1

Constructor Summary

Constructors

Constructor and Description
NewtonRaphsonSolver() Construct a solver.
NewtonRaphsonSolver(double absoluteAccuracy) Construct a solver.

Method Summary

Modifier and Type	Method and Description
double	solve(int maxEval, UnivariateDifferentiableFunction f, double min, double max) Find a zero near the midpoint of min and max.

Methods inherited from class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver

getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, solve, solve

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver

getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMaxEvaluations, getRelativeAccuracy, solve, solve

Constructor Detail

NewtonRaphsonSolver

public NewtonRaphsonSolver()

Construct a solver.

NewtonRaphsonSolver

public NewtonRaphsonSolver(double absoluteAccuracy)

Construct a solver.

Parameters:

absoluteAccuracy - Absolute accuracy.

Method Detail

solve

public double solve(int maxEval,
                    UnivariateDifferentiableFunction f,
                    double min,
                    double max)
             throws TooManyEvaluationsException

Find a zero near the midpoint of min and max.

Specified by:

solve in interface BaseUnivariateSolver<UnivariateDifferentiableFunction>

Overrides:

solve in class BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction>

Parameters:

f - Function to solve.

min - Lower bound for the interval.

max - Upper bound for the interval.

maxEval - Maximum number of evaluations.

Returns:

the value where the function is zero.

Throws:

TooManyEvaluationsException - if the maximum evaluation count is exceeded.

NumberIsTooLargeException - if min >= max.