public class MullerSolver extends AbstractUnivariateSolver
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.
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.
MullerSolver2
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Serialized FormConstructor and Description |
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MullerSolver()
Construct a solver with default accuracy (1e-6).
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MullerSolver(double absoluteAccuracy)
Construct a solver.
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MullerSolver(double relativeAccuracy,
double absoluteAccuracy)
Construct a solver.
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Modifier and Type | Method and Description |
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protected double |
doSolve()
Method for implementing actual optimization algorithms in derived
classes.
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computeObjectiveValue, getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, incrementEvaluationCount, isBracketing, isSequence, setup, solve, solve, solve, verifyBracketing, verifyInterval, verifySequence
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMaxEvaluations, getRelativeAccuracy, solve, solve, solve
public MullerSolver()
public MullerSolver(double absoluteAccuracy)
absoluteAccuracy
- Absolute accuracy.public MullerSolver(double relativeAccuracy, double absoluteAccuracy)
relativeAccuracy
- Relative accuracy.absoluteAccuracy
- Absolute accuracy.protected double doSolve()
doSolve
in class BaseAbstractUnivariateSolver<UnivariateFunction>
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