org.hipparchus.analysis.solvers

Class AbstractUnivariateDifferentiableSolver

java.lang.Object

org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction>

org.hipparchus.analysis.solvers.AbstractUnivariateDifferentiableSolver

All Implemented Interfaces:

BaseUnivariateSolver<UnivariateDifferentiableFunction>, UnivariateDifferentiableSolver

Direct Known Subclasses:

NewtonRaphsonSolver

public abstract class AbstractUnivariateDifferentiableSolver
extends BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction>
implements UnivariateDifferentiableSolver

Provide a default implementation for several functions useful to generic solvers.

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	AbstractUnivariateDifferentiableSolver(double absoluteAccuracy) Construct a solver with given absolute accuracy.
protected	AbstractUnivariateDifferentiableSolver(double relativeAccuracy, double absoluteAccuracy, double functionValueAccuracy) Construct a solver with given accuracies.

Method Summary

Modifier and Type	Method and Description
protected DerivativeStructure	computeObjectiveValueAndDerivative(double point) Compute the objective function value.
protected void	setup(int maxEval, UnivariateDifferentiableFunction f, double min, double max, double startValue) Prepare for computation.

Methods inherited from class org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver

computeObjectiveValue, doSolve, getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, incrementEvaluationCount, isBracketing, isSequence, 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

AbstractUnivariateDifferentiableSolver

protected AbstractUnivariateDifferentiableSolver(double absoluteAccuracy)

Construct a solver with given absolute accuracy.

Parameters:

absoluteAccuracy - Maximum absolute error.

AbstractUnivariateDifferentiableSolver

protected AbstractUnivariateDifferentiableSolver(double relativeAccuracy,
                                                 double absoluteAccuracy,
                                                 double functionValueAccuracy)

Construct a solver with given accuracies.

Parameters:

relativeAccuracy - Maximum relative error.

absoluteAccuracy - Maximum absolute error.

functionValueAccuracy - Maximum function value error.

Method Detail

computeObjectiveValueAndDerivative

protected DerivativeStructure computeObjectiveValueAndDerivative(double point)
                                                          throws MathIllegalStateException

Compute the objective function value.

Parameters:

point - Point at which the objective function must be evaluated.

Returns:

the objective function value and derivative at specified point.

Throws:

MathIllegalStateException - if the maximal number of evaluations is exceeded.

setup

protected void setup(int maxEval,
                     UnivariateDifferentiableFunction f,
                     double min,
                     double max,
                     double startValue)

Prepare for computation. Subclasses must call this method if they override any of the solve methods.

Overrides:

setup in class BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction>

Parameters:

maxEval - Maximum number of evaluations.

f - Function to solve.

min - Lower bound for the interval.

max - Upper bound for the interval.

startValue - Start value to use.