MullerSolver (Hipparchus 1.4 API)

java.lang.Object
- org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver<UnivariateFunction>
- - org.hipparchus.analysis.solvers.AbstractUnivariateSolver
  - - org.hipparchus.analysis.solvers.MullerSolver

All Implemented Interfaces:

BaseUnivariateSolver<UnivariateFunction>, UnivariateSolver
```
public class MullerSolver
extends AbstractUnivariateSolver
```
This class implements the Muller's Method for root finding of real univariate functions. For reference, see Elementary Numerical Analysis, ISBN 0070124477, chapter 3.
Muller's method applies to both real and complex functions, but here we restrict ourselves to real functions. This class differs from MullerSolver in the way it avoids complex operations.
Muller's original method would have function evaluation at complex point. Since our f(x) is real, we have to find ways to avoid that. Bracketing condition is one way to go: by requiring bracketing in every iteration, the newly computed approximation is guaranteed to be real.

Normally Muller's method converges quadratically in the vicinity of a zero, however it may be very slow in regions far away from zeros. For example, f(x) = exp(x) - 1, min = -50, max = 100. In such case we use bisection as a safety backup if it performs very poorly.

The formulas here use divided differences directly.

See Also:

MullerSolver2

Constructor Summary

Constructors
Constructor	Description
`MullerSolver()`	Construct a solver with default accuracy (1e-6).
`MullerSolver(double absoluteAccuracy)`	Construct a solver.
`MullerSolver(double relativeAccuracy, double absoluteAccuracy)`	Construct a solver.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type Method Description

protected double doSolve()
Method for implementing actual optimization algorithms in derived classes.
- Methods inherited from class org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver
  computeObjectiveValue, getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, incrementEvaluationCount, isBracketing, isSequence, setup, solve, 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.hipparchus.analysis.solvers.BaseUnivariateSolver
  getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMaxEvaluations, getRelativeAccuracy, solve, solve, solve

- Constructor Detail
  - MullerSolver
```
public MullerSolver()
```
    Construct a solver with default accuracy (1e-6).
  - MullerSolver
```
public MullerSolver(double absoluteAccuracy)
```
    Construct a solver.
    
    Parameters:
    
    absoluteAccuracy - Absolute accuracy.
  - MullerSolver
```
public MullerSolver(double relativeAccuracy,
                    double absoluteAccuracy)
```
    Construct a solver.
    
    Parameters:
    
    relativeAccuracy - Relative accuracy.
    
    absoluteAccuracy - Absolute accuracy.
- Method Detail
  - doSolve
```
protected double doSolve()
                  throws MathIllegalArgumentException,
                         MathIllegalStateException
```
    Method for implementing actual optimization algorithms in derived classes.
    
    Specified by:
    
    doSolve in class BaseAbstractUnivariateSolver<UnivariateFunction>
    
    Returns:
    
    the root.
    
    Throws:
    
    MathIllegalArgumentException - if the initial search interval does not bracket a root and the solver requires it.
    
    MathIllegalStateException - if the maximal number of evaluations is exceeded.