/external/opencv/cv/src/ |
cvfeatureselect.cpp | 81 CvMat eig_stub, *eig = (CvMat*)eigImage; local 92 if( eig ) 94 CV_CALL( eig = cvGetMat( eig, &eig_stub, &coi2 )); 99 eig = _eigImg; 125 CV_MAT_CN(eig->type) != 1 || 130 CV_MAT_DEPTH(eig->type) != CV_32F ) 144 CV_CALL( cvCornerHarris( img, eig, block_size, 3, harris_k )); 148 CV_CALL( cvCornerMinEigenVal( img, eig, block_size, 3 )); 150 CV_CALL( cvMinMaxLoc( eig, 0, &max_val, 0, 0, mask )) [all...] |
/external/eigen/lapack/ |
eigenvalues.cpp | 63 SelfAdjointEigenSolver<PlainMatrixType> eig(mat,computeVectors?ComputeEigenvectors:EigenvaluesOnly); 65 if(eig.info()==NoConvergence) 74 vector(w,*n) = eig.eigenvalues(); 76 matrix(a,*n,*n,*lda) = eig.eigenvectors();
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/external/eigen/unsupported/test/ |
mpreal_support.cpp | 46 SelfAdjointEigenSolver<MatrixXmp> eig(S); 47 VERIFY_IS_EQUAL(eig.info(), Success); 48 VERIFY( (S.selfadjointView<Lower>() * eig.eigenvectors()).isApprox(eig.eigenvectors() * eig.eigenvalues().asDiagonal(), NumTraits<mpreal>::dummy_precision()*1e3) );
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/external/eigen/test/ |
eigensolver_generic.cpp | 77 EigenSolver<MatrixType> eig; local 78 VERIFY_RAISES_ASSERT(eig.eigenvectors()); 79 VERIFY_RAISES_ASSERT(eig.pseudoEigenvectors()); 80 VERIFY_RAISES_ASSERT(eig.pseudoEigenvalueMatrix()); 81 VERIFY_RAISES_ASSERT(eig.eigenvalues()); 84 eig.compute(a, false); 85 VERIFY_RAISES_ASSERT(eig.eigenvectors()); 86 VERIFY_RAISES_ASSERT(eig.pseudoEigenvectors());
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eigensolver_generalized_real.cpp | 35 GeneralizedEigenSolver<MatrixType> eig(spdA, spdB); 37 VERIFY_IS_EQUAL(eig.eigenvalues().imag().cwiseAbs().maxCoeff(), 0); 39 VectorType realEigenvalues = eig.eigenvalues().real();
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eigensolver_complex.cpp | 93 ComplexEigenSolver<MatrixType> eig; local 94 VERIFY_RAISES_ASSERT(eig.eigenvectors()); 95 VERIFY_RAISES_ASSERT(eig.eigenvalues()); 98 eig.compute(a, false); 99 VERIFY_RAISES_ASSERT(eig.eigenvectors());
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/external/eigen/Eigen/src/Eigen2Support/ |
LeastSquares.h | 158 SelfAdjointEigenSolver<CovMatrixType> eig(covMat); 159 result->normal() = eig.eigenvectors().col(0); 161 *soundness = eig.eigenvalues().coeff(0)/eig.eigenvalues().coeff(1);
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/external/eigen/bench/ |
eig33.cpp | 181 SelfAdjointEigenSolver<Mat> eig(A); 182 BENCH(t, tries, rep, eig.compute(A)); 191 std::cerr << (evals - eig.eigenvalues()).transpose() << "\n"; 193 if(evecs.col(k).dot(eig.eigenvectors().col(k))<0) 195 std::cerr << evecs - eig.eigenvectors() << "\n\n";
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/external/eigen/unsupported/Eigen/src/IterativeSolvers/ |
DGMRES.h | 413 ComplexVector eig(it); 419 eig(j) = std::complex<RealScalar>(T(j,j),RealScalar(0)); 424 eig(j) = std::complex<RealScalar>(T(j,j),T(j+1,j)); 425 eig(j+1) = std::complex<RealScalar>(T(j,j+1),T(j+1,j+1)); 429 if (j < it-1) eig(j) = std::complex<RealScalar>(T(j,j),RealScalar(0)); 430 return eig; 443 ComplexVector eig(it); 445 eig = this->schurValues(schurofH); 449 for (int j=0; j<it; ++j) modulEig(j) = std::abs(eig(j)); 461 if(eig(perm(it-nbrEig-1)).imag() == RealScalar(0)) nbrEig++; [all...] |
/external/opencv/cvaux/src/ |
cveigenobjects.cpp | 1376 IplImage *eig = eigens[i]; local 1460 IplImage *eig = eigens[i]; local 1643 IplImage *eig = eigens[i]; local 1760 IplImage *eig = eigens[i]; local [all...] |
cvtrifocal.cpp | [all...] |
/external/eigen/Eigen/src/Eigenvalues/ |
SelfAdjointEigenSolver.h | 484 static inline void run(SolverType& eig, const typename SolverType::MatrixType& A, int options) 485 { eig.compute(A,options); }
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/external/chromium_org/third_party/boringssl/src/crypto/perlasm/ |
x86_64-xlate.pl | 206 $self->{value} =~ s/(0b[0-1]+)/oct($1)/eig; 620 $var=~s/^(0b[0-1]+)/oct($1)/eig; 634 map(s/(0b[0-1]+)/oct($1)/eig,@str); [all...] |
/external/openssl/crypto/perlasm/ |
x86_64-xlate.pl | 206 $self->{value} =~ s/(0b[0-1]+)/oct($1)/eig; 603 $var=~s/^(0b[0-1]+)/oct($1)/eig; 617 map(s/(0b[0-1]+)/oct($1)/eig,@str); [all...] |