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java.lang.Object org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver<DifferentiableUnivariateFunction> org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver org.apache.commons.math3.analysis.solvers.NewtonSolver
NewtonRaphsonSolver
@Deprecated public class NewtonSolver
Implements Newton's Method for finding zeros of real univariate functions.
The function should be continuous but not necessarily smooth.
Constructor Summary | |
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NewtonSolver()
Deprecated. Construct a solver. |
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NewtonSolver(double absoluteAccuracy)
Deprecated. Construct a solver. |
Method Summary | |
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protected double |
doSolve()
Deprecated. Method for implementing actual optimization algorithms in derived classes. |
double |
solve(int maxEval,
DifferentiableUnivariateFunction f,
double min,
double max)
Deprecated. Find a zero near the midpoint of min and max . |
Methods inherited from class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver |
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computeDerivativeObjectiveValue, setup |
Methods inherited from class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver |
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computeObjectiveValue, getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMax, getMaxEvaluations, getMin, getRelativeAccuracy, getStartValue, incrementEvaluationCount, isBracketing, isSequence, solve, solve, verifyBracketing, verifyInterval, verifySequence |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver |
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getAbsoluteAccuracy, getEvaluations, getFunctionValueAccuracy, getMaxEvaluations, getRelativeAccuracy, solve, solve |
Constructor Detail |
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public NewtonSolver()
public NewtonSolver(double absoluteAccuracy)
absoluteAccuracy
- Absolute accuracy.Method Detail |
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public double solve(int maxEval, DifferentiableUnivariateFunction f, double min, double max) throws TooManyEvaluationsException
min
and max
.
solve
in interface BaseUnivariateSolver<DifferentiableUnivariateFunction>
solve
in class BaseAbstractUnivariateSolver<DifferentiableUnivariateFunction>
f
- Function to solve.min
- Lower bound for the interval.max
- Upper bound for the interval.maxEval
- Maximum number of evaluations.
TooManyEvaluationsException
- if the maximum evaluation count is exceeded.
NumberIsTooLargeException
- if min >= max
.protected double doSolve() throws TooManyEvaluationsException
doSolve
in class BaseAbstractUnivariateSolver<DifferentiableUnivariateFunction>
TooManyEvaluationsException
- if the maximal number of evaluations
is exceeded.
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