Searched refs:InverseChiSquare (Results 1 – 11 of 11) sorted by relevance
31 CLASSNAMEINIT(InverseChiSquare)36 InverseChiSquare::InverseChiSquare() in InverseChiSquare() function in InverseChiSquare47 InverseChiSquare::InverseChiSquare(const Scalar nu) in InverseChiSquare() function in InverseChiSquare58 Bool InverseChiSquare::operator ==(const InverseChiSquare & other) const in operator ==()66 const InverseChiSquare* p_other = dynamic_cast<const InverseChiSquare*>(&other); in equals()100 Scalar InverseChiSquare::getNu() const in getNu()106 InverseChiSquare * InverseChiSquare::clone() const in clone()108 return new InverseChiSquare(*this); in clone()112 void InverseChiSquare::computeRange() in computeRange()122 void InverseChiSquare::update() in update()[all …]
9 %include openturns/InverseChiSquare.hxx10 namespace OT { %extend InverseChiSquare { InverseChiSquare(const InverseChiSquare & other) { return… in InverseChiSquare() function
1 %feature("docstring") OT::InverseChiSquare2 "InverseChiSquare distribution.7 InverseChiSquare(*nu*)45 >>> distribution = ot.InverseChiSquare(1.0)53 %feature("docstring") OT::InverseChiSquare::getNu63 %feature("docstring") OT::InverseChiSquare::setNu
28 %include InverseChiSquare.i
27 class TestObject : public InverseChiSquare30 TestObject() : InverseChiSquare(1.5) {} in TestObject()47 Collection<InverseChiSquare> allDistributions(0); in main()48 allDistributions.add(InverseChiSquare(10.5)); in main()49 allDistributions.add(InverseChiSquare(15.0)); in main()52 InverseChiSquare distribution(allDistributions[n]); in main()108 PDFgrFD[0] = (InverseChiSquare(distribution.getNu() + eps).computePDF(point) - in main()109 InverseChiSquare(distribution.getNu() - eps).computePDF(point)) / (2.0 * eps); in main()114 CDFgrFD[0] = (InverseChiSquare(distribution.getNu() + eps).computeCDF(point) - in main()115 InverseChiSquare(distribution.getNu() - eps).computeCDF(point)) / (2.0 * eps); in main()[all …]
1 Testing class InverseChiSquare5 class=InverseChiSquare name=InverseChiSquare dimension=1 nu=1.57 class=InverseChiSquare name=InverseChiSquare dimension=1 nu=1.510 Distribution class=InverseChiSquare name=InverseChiSquare dimension=1 nu=10.511 Distribution InverseChiSquare(nu = 10.5)40 …InverseChiSquare(nu = 10.5)) gradientImplementation=MinimumVolumeLevelSetGradient(InverseChiSquare…62 Standard representative=InverseChiSquare(nu = 10.5)66 Distribution class=InverseChiSquare name=InverseChiSquare dimension=1 nu=1567 Distribution InverseChiSquare(nu = 15)96 …InverseChiSquare(nu = 15)) gradientImplementation=MinimumVolumeLevelSetGradient(InverseChiSquare(n…[all …]
34 class OT_API InverseChiSquare class41 InverseChiSquare();44 InverseChiSquare(const Scalar nu);48 Bool operator ==(const InverseChiSquare & other) const;62 InverseChiSquare * clone() const override;
10 allDistributions = [InverseChiSquare(10.5), InverseChiSquare(15.0)]72 PDFgrFD[0] = (InverseChiSquare(distribution.getNu() + eps).computePDF(point) -73 InverseChiSquare(distribution.getNu() - eps).computePDF(point)) / (2.0 * eps)78 CDFgrFD[0] = (InverseChiSquare(distribution.getNu() + eps).computeCDF(point) -79 InverseChiSquare(distribution.getNu() - eps).computeCDF(point)) / (2.0 * eps)
1 Distribution InverseChiSquare(nu = 10.5)33 MinimumVolumeLevelSetEvaluation(InverseChiSquare(nu = 10.5))53 Standard representative= InverseChiSquare(nu = 10.5)57 Distribution InverseChiSquare(nu = 15)89 MinimumVolumeLevelSetEvaluation(InverseChiSquare(nu = 15))109 Standard representative= InverseChiSquare(nu = 15)
57 InverseChiSquare
1127 * InverseChiSquare