public class BrentSolver extends AbstractUnivariateSolver
solve
method returns a zero x
of the function f
in the given interval [a, b]
to within a tolerance
2 eps abs(x) + t
where eps
is the relative accuracy and
t
is the absolute accuracy.
The given interval must bracket the root.
The reference implementation is given in chapter 4 of
Algorithms for Minimization Without Derivatives, Richard P. Brent, Dover, 2002
BaseAbstractUnivariateSolver
Constructor and Description |
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BrentSolver()
Construct a solver with default absolute accuracy (1e-6).
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BrentSolver(double absoluteAccuracy)
Construct a solver.
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BrentSolver(double relativeAccuracy,
double absoluteAccuracy)
Construct a solver.
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BrentSolver(double relativeAccuracy,
double absoluteAccuracy,
double functionValueAccuracy)
Construct a solver.
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getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, solve, solve, solve
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMaxEvaluations, getRelativeAccuracy, solve, solve, solve
public BrentSolver()
public BrentSolver(double absoluteAccuracy)
absoluteAccuracy
- Absolute accuracy.public BrentSolver(double relativeAccuracy, double absoluteAccuracy)
relativeAccuracy
- Relative accuracy.absoluteAccuracy
- Absolute accuracy.public BrentSolver(double relativeAccuracy, double absoluteAccuracy, double functionValueAccuracy)
relativeAccuracy
- Relative accuracy.absoluteAccuracy
- Absolute accuracy.functionValueAccuracy
- Function value accuracy.BaseAbstractUnivariateSolver.BaseAbstractUnivariateSolver(double,double,double)
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