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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Approximation/src/GaussianProcesses/
H A DKernelBase.cpp8 Eigen::MatrixXd output(coDim, coDim); in Evaluate()
26 Eigen::MatrixXd output(coDim*x.cols(), coDim*x.cols()); in BuildCovariance()
34 Eigen::MatrixXd output(coDim*x1.cols(), coDim*x2.cols()); in BuildCovariance()
42 assert(output.rows()==x.cols()*coDim); in FillCovariance()
55 …illBlock(xParts.col(i), xParts.col(j), cachedParams, output.block(i*coDim, j*coDim, coDim, coDim)); in FillCovariance()
56 …output.block(j*coDim, i*coDim, coDim, coDim) = output.block(i*coDim, j*coDim, coDim, coDim).transp… in FillCovariance()
59 FillBlock(xParts.col(i), xParts.col(i), cachedParams, output.block(i*coDim,i*coDim,coDim,coDim)); in FillCovariance()
83 …lBlock(x1Parts.col(i), x2Parts.col(j), cachedParams, output.block(i*coDim, j*coDim, coDim, coDim)); in FillCovariance()
95 output.resize(numRows*coDim,numCols*coDim); in FillDerivCovariance()
107 …(x1Parts.col(i), x2Parts.col(j), cachedParams, wrts, output.block(i*coDim, j*coDim, coDim, coDim)); in FillDerivCovariance()
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H A DGaussianProcess.cpp35 coDim(covKernel->coDim), in GaussianProcess()
47 assert(vals.rows()==coDim); in Condition()
54 … obsVar*Eigen::MatrixXd::Identity(coDim,coDim)); in Condition()
196 assert(outputMean.rows()==coDim); in Predict()
211 Eigen::MatrixXd priorCov(coDim, coDim); in Predict()
216 for(int d=0; d<coDim; ++d) in Predict()
227 outputCov.resize(coDim, coDim*newLocs.cols()); in Predict()
229 Eigen::MatrixXd priorCov(coDim, coDim); in Predict()
234 …ov.block(0,coDim*i,coDim,coDim) = priorCov - crossCov.block(i*coDim,0,coDim,crossCov.cols()) * cov… in Predict()
236 outputCov.block(0,coDim*i,coDim,coDim) = priorCov; in Predict()
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H A DConcatenateKernel.cpp29 block = Eigen::MatrixXd::Zero(coDim, coDim); in FillBlock()
38 … block.block(codimCnt,codimCnt,kernels.at(i)->coDim, kernels.at(i)->coDim)); in FillBlock()
40 codimCnt += kernels.at(i)->coDim; in FillBlock()
51 block = Eigen::MatrixXd::Zero(coDim, coDim); in FillPosDerivBlock()
61 … block.block(codimCnt,codimCnt,kernels.at(i)->coDim, kernels.at(i)->coDim)); in FillPosDerivBlock()
63 codimCnt += kernels.at(i)->coDim; in FillPosDerivBlock()
72 cnt += kernel->coDim; in CountCoDims()
H A DObservationInformation.cpp56 Eigen::MatrixXd output(derivCoords.size() * kernel->coDim, kernel->coDim); in BuildBaseCovariance()
58 …output.block(i*derivCoords.size(),0,kernel->coDim,kernel->coDim) = kernel->GetPosDerivative(otherL… in BuildBaseCovariance()
65 Eigen::MatrixXd output(derivCoords.size() * kernel->coDim, derivCoords.size() * kernel->coDim); in BuildBaseCovariance()
71 …output.block(i*derivCoords.size(),j*derivCoords.size(),kernel->coDim,kernel->coDim) = kernel->GetP… in BuildBaseCovariance()
87 …igen::MatrixXd output(derivCoords.size() * kernel->coDim, derivObs->derivCoords.size() * kernel->c… in BuildBaseCovariance()
94 ….block(i*derivCoords.size(),j*derivObs->derivCoords.size(),kernel->coDim,kernel->coDim) = kernel->… in BuildBaseCovariance()
H A DProductKernel.cpp7 std::max(kernel1In->coDim, kernel2In->coDim), in ProductKernel()
12 assert((kernel1->coDim==kernel2->coDim) | (kernel1->coDim==1) | (kernel2->coDim==1)); in ProductKernel()
26 Eigen::MatrixXd temp1(kernel1->coDim, kernel1->coDim); in FillBlock()
27 Eigen::MatrixXd temp2(kernel2->coDim, kernel2->coDim); in FillBlock()
32 if(kernel1->coDim==kernel2->coDim) in FillBlock()
36 else if(kernel1->coDim==1) in FillBlock()
40 else if(kernel2->coDim==1) in FillBlock()
H A DSumKernel.cpp12 kernel1In->coDim, in SumKernel()
18 assert(kernel1->coDim == kernel2->coDim); in SumKernel()
33 Eigen::MatrixXd temp(coDim, coDim); in FillBlock()
48 Eigen::MatrixXd temp(coDim, coDim); in FillPosDerivBlock()
H A DStateSpaceGP.cpp265 output.first.resize(coDim, times.cols()); in Predict()
271 output.second.resize(coDim, coDim*times.cols()); in Predict()
274 …output.second.block(0,i*coDim,coDim,coDim) = obsOp->Apply( obsOp->Apply(evalDists.at(i).second).tr… in Predict()
277 output.second.resize(coDim, times.cols()); in Predict()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/MUQ/Approximation/GaussianProcesses/
H A DProductKernel.h54 Eigen::MatrixXd eval1(coDim,coDim); in FillPosDerivBlock()
57 Eigen::MatrixXd eval2(coDim,coDim); in FillPosDerivBlock()
60 Eigen::MatrixXd deriv1_i(coDim,coDim); in FillPosDerivBlock()
63 Eigen::MatrixXd deriv2_i(coDim,coDim); in FillPosDerivBlock()
70 Eigen::MatrixXd deriv1_j(coDim,coDim); in FillPosDerivBlock()
73 Eigen::MatrixXd deriv2_j(coDim,coDim); in FillPosDerivBlock()
76 Eigen::MatrixXd secDeriv1_ij(coDim,coDim); in FillPosDerivBlock()
79 Eigen::MatrixXd secDeriv2_ij(coDim,coDim); in FillPosDerivBlock()
H A DGaussianProcess.h85 unsigned coDimIn) : inputDim(dimIn), coDim(coDimIn){} in MeanFunctionBase()
101 const unsigned coDim; variable
113 ZeroMean(unsigned dim, unsigned coDim) : MeanFunctionBase(dim,coDim){}; in ZeroMean() argument
124 return Eigen::MatrixXd::Zero(coDim, xs.cols()); in Evaluate()
129 return Eigen::MatrixXd::Zero(coDim*derivCoords.size(), xs.cols()); in GetDerivative()
163 output.col(j).segment(i*coDim, coDim) = slopes.col(derivCoords.at(i).at(0)); in GetDerivative()
165 output.col(j).segment(i*coDim, coDim) = Evaluate(xs.col(j)).col(0); in GetDerivative()
194 assert(A.cols() == otherMean->coDim); in LinearTransformMean()
239 MeanFunctionBase(mu1In.inputDim, mu1In.coDim), in SumMean()
244 assert(mu1->coDim == mu2->coDim); in SumMean()
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H A DKernelImpl.h98 Eigen::Matrix<stan::math::fvar<double>, Eigen::Dynamic, Eigen::Dynamic> cov(coDim, coDim); in FillPosDerivBlockImpl()
101 for(int j=0; j<coDim; ++j){ in FillPosDerivBlockImpl()
102 for(int i=0; i<coDim; ++i){ in FillPosDerivBlockImpl()
121 …atrix<stan::math::fvar<stan::math::fvar<double>>, Eigen::Dynamic, Eigen::Dynamic> cov(coDim,coDim); in FillPosDerivBlockImpl()
124 for(int j=0; j<coDim; ++j){ in FillPosDerivBlockImpl()
125 for(int i=0; i<coDim; ++i){ in FillPosDerivBlockImpl()
145 …fvar<stan::math::fvar<stan::math::fvar<double>>>, Eigen::Dynamic, Eigen::Dynamic> cov(coDim,coDim); in FillPosDerivBlockImpl()
148 for(int j=0; j<coDim; ++j){ in FillPosDerivBlockImpl()
149 for(int i=0; i<coDim; ++i){ in FillPosDerivBlockImpl()
172 for(int j=0; j<coDim; ++j){ in FillPosDerivBlockImpl()
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H A DLinearTransformKernel.h32 assert(Ain.cols() == Kin->coDim); in LinearTransformKernel()
44 Eigen::MatrixXd temp(K->coDim,K->coDim); in FillBlock()
55 Eigen::MatrixXd temp(K->coDim,K->coDim); in FillPosDerivBlock()
H A DKernelBase.h50 …int numParamsIn) : dimInds(dimIndsIn), inputDim(inputDimIn), coDim(coDimIn), numParam… in KernelBase()
53 assert(coDim>0); in KernelBase()
131 const unsigned int coDim; variable
H A DConstantKernel.h85 for(int i=0; i<coDim; ++i){ in FillBlockImpl()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Approximation/test/GaussianProcesses/
H A DKernelTests.cpp25 EXPECT_EQ(2, kernel.coDim); in TEST()
65 EXPECT_DOUBLE_EQ(kernel.coDim, kernel_copy->coDim); in TEST()
/dports/misc/ompl/ompl-1.5.2/src/ompl/base/
H A DConstraint.h87 Constraint(const unsigned int ambientDim, const unsigned int coDim,
90 , k_(ambientDim - coDim) in n_()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Approximation/python/wrappers/
H A DGaussianWrapper.cpp73 .def_readonly("coDim", &MeanFunctionBase::coDim); in GaussianWrapper()
H A DKernelWrapper.cpp64 .def_readonly("coDim", &KernelBase::coDim) in KernelWrapper()
/dports/math/gismo/gismo-21.12.0/src/gsCore/
H A DgsMultiPatch.h170 short_t coDim() const;
H A DgsGeometry.h320 short_t coDim() const { return coefDim()-this->basis().domainDim(); } in coDim() function
H A DgsMultiPatch.hpp153 short_t gsMultiPatch<T>::coDim() const in coDim() function in gismo::gsMultiPatch