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

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `protected double` | `doSolve()` Method for implementing actual optimization algorithms in derived classes.
    `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.AbstractUnivariateDifferentiableSolver

      `computeObjectiveValueAndDerivative, setup`

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

      `computeObjectiveValue, getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, incrementEvaluationCount, isBracketing, isSequence, solve, solve, verifyBracketing, verifyInterval, verifySequence`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, 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`.

    - #### doSolve

          protected double doSolve()
                            throws TooManyEvaluationsException

      Method for implementing actual optimization algorithms in derived classes.
      Specified by:
        `doSolve` in class `BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction>`
      Returns:
        the root.
      Throws:
        `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.

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