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KerMor
0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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#include <mex.h>
#include <math.h>
Go to the source code of this file.
Macros | |
#define | X(i, j) x[j*n+i] |
#define | Y(i, j) y[j*n+i] |
Functions | |
void | sumsq (double *xsq, double *x, int n, int m) |
void | mexFunction (int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) |
#define X | ( | i, | |
j | |||
) | x[j*n+i] |
Definition at line 5 of file dontuse_evaluate.c.
Referenced by testing.DEIM.compareDEIM_Full_Jacobian_plots(), testing.LogNorm.compareSimTransDEIMJac_FullJac_plots(), testing.LogNorm.compareSimTransJac_FullJac_plots(), KerMor.createLogo(), dscomponents.ACompEvalCoreFun.evaluateComponentGradientsAt(), models.pcdi.CoreFun2D.evaluateComponentPartialDerivatives(), models.pcd.CoreFun2D.evaluateComponentPartialDerivatives(), dscomponents.ACompEvalCoreFun.evaluateComponentPartialDerivatives(), models.pcdi.InhibitCoreFun2D.evaluateComponentPartialDerivatives(), dscomponents.ACompEvalCoreFun.evaluateComponentPartialDerivativesMulti(), models.burgers.BurgersF_NoA.evaluateComponents(), models.burgers.BurgersF.evaluateComponents(), models.burgers.BurgersF.evaluateComponentsMulti(), models.pcd.CoreFun1D.evaluateComponentsMulti(), models.pcdi.CoreFun2D.evaluateComponentsMulti(), models.pcd.CoreFun2D.evaluateComponentsMulti(), models.pcdi.InhibitCoreFun2D.evaluateComponentsMulti(), testing.LogNorm.getApproxLogNormsAtPos_plots(), data.MemoryTrajectoryData.getBoundingBox(), data.FileTrajectoryData.getBoundingBox(), testing.DEIM.getDEIMReducedModelErrors_plots(), dscomponents.ACoreFun.getStateJacobianFD(), testing.LocalLipGradientEstPlay(), LogPlot.logsurf(), LogPlot.logsurfc(), makedatatip(), mexFunction(), FunVis2D>FunVis2D_OpeningFcn(), FunVis2D>rangesFromATD(), TestCalcMD5>Base64decode(), demos.VKOGA.NewtonBasis_Schaback(), error.IterationCompLemmaEstimator.offlineComputations(), models.pcd.PCDSystem1D.plot(), models.pcd.PCDSystem3D.plotState(), approx.algorithms.Componentwise.plotSummary(), fem.geometry.RegularHex8Grid(), sumsq(), MatUtils.test_ExtendedInverseDirect(), MatUtils.test_ExtendedInverseSequential(), kernels.GaussKernel.test_GaussKernel(), kernels.KernelExpansion.test_getStateJacobianInstance(), kernels.PolyKernel.test_PolyKernel(), fem.HexahedronSerendipity.test_QuadraticBasisFun(), fem.HexahedronTriquadratic.test_QuadraticBasisFun(), fem.HexahedronTrilinear.test_TrilinearBasisFun(), and approx.algorithms.VKOGA.test_VKOGA2D1D().
#define Y | ( | i, | |
j | |||
) | y[j*n+i] |
Definition at line 6 of file dontuse_evaluate.c.
Referenced by testing.DEIM.compareDEIM_Full_Jacobian_plots(), testing.LogNorm.compareSimTransDEIMJac_FullJac_plots(), testing.LogNorm.compareSimTransJac_FullJac_plots(), KerMor.createLogo(), export_fig(), testing.LogNorm.getApproxLogNormsAtPos_plots(), testing.DEIM.getDEIMReducedModelErrors_plots(), models.iciam2011.ICIAMMain(), testing.LocalLipGradientEstPlay(), LogPlot.logsurf(), LogPlot.logsurfc(), makedatatip(), mexFunction(), ParamSweep(), ParamSweep2D(), models.pcd.PCDSystem1D.plot(), models.pcd.PCDSystem3D.plotState(), approx.algorithms.Componentwise.plotSummary(), models.muscle.examples.MuscleTendonMix.plotTMRFun(), fem.geometry.RegularHex8Grid(), kernels.GaussKernel.test_GaussKernel(), kernels.PolyKernel.test_PolyKernel(), fem.HexahedronSerendipity.test_QuadraticBasisFun(), fem.HexahedronTriquadratic.test_QuadraticBasisFun(), fem.HexahedronTrilinear.test_TrilinearBasisFun(), and approx.algorithms.VKOGA.test_VKOGA2D1D().
void mexFunction | ( | int | nlhs, |
mxArray * | plhs[], | ||
int | nrhs, | ||
const mxArray * | prhs[] | ||
) |
Definition at line 9 of file dontuse_evaluate.c.
References X.
Referenced by mexFunction().