Class BaseSecantSolver
java.lang.Object
org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver<UnivariateFunction>
org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver
org.apache.commons.math4.analysis.solvers.BaseSecantSolver
- All Implemented Interfaces:
BaseUnivariateSolver<UnivariateFunction>,BracketedUnivariateSolver<UnivariateFunction>,UnivariateSolver
- Direct Known Subclasses:
IllinoisSolver,PegasusSolver,RegulaFalsiSolver
public abstract class BaseSecantSolver extends AbstractUnivariateSolver implements BracketedUnivariateSolver<UnivariateFunction>
Base class for all bracketing Secant-based methods for root-finding
(approximating a zero of a univariate real function).
Implementation of the Regula Falsi and
Illinois methods is based on the
following article: M. Dowell and P. Jarratt,
A modified regula falsi method for computing the root of an
equation, BIT Numerical Mathematics, volume 11, number 2,
pages 168-174, Springer, 1971.
Implementation of the Pegasus method is
based on the following article: M. Dowell and P. Jarratt,
The "Pegasus" method for computing the root of an equation,
BIT Numerical Mathematics, volume 12, number 4, pages 503-508, Springer,
1972.
The Secant method is not a
bracketing method, so it is not implemented here. It has a separate
implementation.
- Since:
- 3.0
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Nested Class Summary
Nested Classes Modifier and Type Class Description protected static classBaseSecantSolver.MethodSecant-based root-finding methods. -
Field Summary
Fields Modifier and Type Field Description protected static doubleDEFAULT_ABSOLUTE_ACCURACYDefault absolute accuracy. -
Constructor Summary
Constructors Modifier Constructor Description protectedBaseSecantSolver(double relativeAccuracy, double absoluteAccuracy, double functionValueAccuracy, BaseSecantSolver.Method method)Construct a solver.protectedBaseSecantSolver(double relativeAccuracy, double absoluteAccuracy, BaseSecantSolver.Method method)Construct a solver.protectedBaseSecantSolver(double absoluteAccuracy, BaseSecantSolver.Method method)Construct a solver. -
Method Summary
Modifier and Type Method Description protected doubledoSolve()Method for implementing actual optimization algorithms in derived classes.doublesolve(int maxEval, UnivariateFunction f, double min, double max, double startValue)Solve for a zero in the given interval, start atstartValue.doublesolve(int maxEval, UnivariateFunction f, double min, double max, double startValue, AllowedSolution allowedSolution)Solve for a zero in the given interval, start atstartValue.doublesolve(int maxEval, UnivariateFunction f, double min, double max, AllowedSolution allowedSolution)Solve for a zero in the given interval.Methods inherited from class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
computeObjectiveValue, getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, incrementEvaluationCount, isBracketing, isSequence, setup, solve, solve, verifyBracketing, verifyInterval, verifySequenceMethods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver
getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMaxEvaluations, getRelativeAccuracy, solve, solve
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Field Details
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DEFAULT_ABSOLUTE_ACCURACY
protected static final double DEFAULT_ABSOLUTE_ACCURACYDefault absolute accuracy.- See Also:
- Constant Field Values
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Constructor Details
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BaseSecantSolver
Construct a solver.- Parameters:
absoluteAccuracy- Absolute accuracy.method- Secant-based root-finding method to use.
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BaseSecantSolver
protected BaseSecantSolver(double relativeAccuracy, double absoluteAccuracy, BaseSecantSolver.Method method)Construct a solver.- Parameters:
relativeAccuracy- Relative accuracy.absoluteAccuracy- Absolute accuracy.method- Secant-based root-finding method to use.
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BaseSecantSolver
protected BaseSecantSolver(double relativeAccuracy, double absoluteAccuracy, double functionValueAccuracy, BaseSecantSolver.Method method)Construct a solver.- Parameters:
relativeAccuracy- Maximum relative error.absoluteAccuracy- Maximum absolute error.functionValueAccuracy- Maximum function value error.method- Secant-based root-finding method to use
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Method Details
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solve
public double solve(int maxEval, UnivariateFunction f, double min, double max, AllowedSolution allowedSolution)Solve for a zero in the given interval. A solver may require that the interval brackets a single zero root. Solvers that do require bracketing should be able to handle the case where one of the endpoints is itself a root.- Specified by:
solvein interfaceBracketedUnivariateSolver<UnivariateFunction>- Parameters:
maxEval- Maximum number of evaluations.f- Function to solve.min- Lower bound for the interval.max- Upper bound for the interval.allowedSolution- The kind of solutions that the root-finding algorithm may accept as solutions.- Returns:
- A value where the function is zero.
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solve
public double solve(int maxEval, UnivariateFunction f, double min, double max, double startValue, AllowedSolution allowedSolution)Solve for a zero in the given interval, start atstartValue. A solver may require that the interval brackets a single zero root. Solvers that do require bracketing should be able to handle the case where one of the endpoints is itself a root.- Specified by:
solvein interfaceBracketedUnivariateSolver<UnivariateFunction>- 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.allowedSolution- The kind of solutions that the root-finding algorithm may accept as solutions.- Returns:
- A value where the function is zero.
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solve
Solve for a zero in the given interval, start atstartValue. A solver may require that the interval brackets a single zero root. Solvers that do require bracketing should be able to handle the case where one of the endpoints is itself a root.- Specified by:
solvein interfaceBaseUnivariateSolver<UnivariateFunction>- Overrides:
solvein classBaseAbstractUnivariateSolver<UnivariateFunction>- 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.- Returns:
- a value where the function is zero.
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doSolve
Method for implementing actual optimization algorithms in derived classes.- Specified by:
doSolvein classBaseAbstractUnivariateSolver<UnivariateFunction>- Returns:
- the root.
- Throws:
ConvergenceException- if the algorithm failed due to finite precision.
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