Uses of Class
dev.nm.analysis.root.univariate.NoRootFoundException
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Packages that use NoRootFoundException Package Description dev.nm.analysis.root.multivariate dev.nm.analysis.root.univariate tech.nmfin.portfoliooptimization.markowitz -
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Uses of NoRootFoundException in dev.nm.analysis.root.multivariate
Methods in dev.nm.analysis.root.multivariate that throw NoRootFoundException Modifier and Type Method Description Vector
NewtonSystemRoot. solve(RealScalarFunction[] f, Vector guess)
Searches for a root, x such that f(x) = 0.Vector
NewtonSystemRoot. solve(RealVectorFunction f, Vector guess)
Searches for a root, x such that f(x) = 0. -
Uses of NoRootFoundException in dev.nm.analysis.root.univariate
Methods in dev.nm.analysis.root.univariate that throw NoRootFoundException Modifier and Type Method Description double
BisectionRoot. solve(UnivariateRealFunction f, double lower, double upper, double... guess)
double
HalleyRoot. solve(UnivariateRealFunction f, double guess)
Search for a root, x, in the interval [lower, upper] such that f(x) = 0.double
HalleyRoot. solve(UnivariateRealFunction f, double lower, double upper, double... guess)
double
HalleyRoot. solve(UnivariateRealFunction f, UnivariateRealFunction df, UnivariateRealFunction d2f, double guess)
Search for a root, x, in the interval [lower, upper] such that f(x) = 0.double
NewtonRoot. solve(UnivariateRealFunction f, double guess)
double
NewtonRoot. solve(UnivariateRealFunction f, double lower, double upper, double... guess)
double
NewtonRoot. solve(UnivariateRealFunction f, UnivariateRealFunction df_, double guess)
Searches for a root, x, in the interval [lower, upper] such that f(x) = 0.double
Uniroot. solve(UnivariateRealFunction f, double lower, double upper, double... guess)
Search for a root, x, in the interval [lower, upper] such that f(x) = 0. -
Uses of NoRootFoundException in tech.nmfin.portfoliooptimization.markowitz
Methods in tech.nmfin.portfoliooptimization.markowitz that throw NoRootFoundException Modifier and Type Method Description double
MarkowitzByQP. getRiskAversionCoefficientForTargetReturn(double r, double lower, double upper, int maxIterations)
double
MarkowitzByQP. getRiskAversionCoefficientForTargetVariance(double var, double lower, double upper, int maxIterations)
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