public abstract class ConjugateGradientOptimization extends Optimization implements RevisionHandler
| Constructor and Description |
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ConjugateGradientOptimization()
Constructor that sets MAXITS to 2000 by default and the parameter in the
second weak Wolfe condition to 0.1.
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| Modifier and Type | Method and Description |
|---|---|
double[] |
findArgmin(double[] initX,
double[][] constraints)
Main algorithm.
|
TechnicalInformation |
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
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getMinFunction, getVarbValues, lnsrch, setDebug, setMaxIteration, solveTriangleequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetRevisionpublic ConjugateGradientOptimization()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlergetTechnicalInformation in class Optimizationpublic double[] findArgmin(double[] initX,
double[][] constraints)
throws java.lang.Exception
findArgmin in class OptimizationinitX - initial point of x, assuming no value's on the bound!constraints - both arrays must contain Double.NaNjava.lang.Exception - if an error occurs