/external/chromium-trace/trace-viewer/third_party/gl-matrix/spec/gl-matrix/ |
D | mat4-spec.js | 24 var out, matA, matB, identity, result; 28 matA = [1, 0, 0, 0, 55 beforeEach(function() { result = mat4.clone(matA); }); 56 …ement array initialized to the values in matA", function() { expect(result).toBeEqualish(matA); }); 60 beforeEach(function() { result = mat4.copy(out, matA); }); 61 it("should place values into out", function() { expect(out).toBeEqualish(matA); }); 73 beforeEach(function() { result = mat4.transpose(out, matA); }); 85 expect(matA).toBeEqualish([ 95 beforeEach(function() { result = mat4.transpose(matA, matA); }); 98 expect(matA).toBeEqualish([ [all …]
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D | mat2-spec.js | 24 var out, matA, matB, identity, result; 27 matA = [1, 2, 46 beforeEach(function() { result = mat2.clone(matA); }); 47 …ement array initialized to the values in matA", function() { expect(result).toBeEqualish(matA); }); 51 beforeEach(function() { result = mat2.copy(out, matA); }); 52 it("should place values into out", function() { expect(out).toBeEqualish(matA); }); 64 beforeEach(function() { result = mat2.transpose(out, matA); }); 68 it("should not modify matA", function() { expect(matA).toBeEqualish([1, 2, 3, 4]); }); 72 beforeEach(function() { result = mat2.transpose(matA, matA); }); 74 … it("should place values into matA", function() { expect(matA).toBeEqualish([1, 3, 2, 4]); }); [all …]
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D | mat2d-spec.js | 24 var out, matA, matB, identity, result; 27 matA = [1, 2, 58 beforeEach(function() { result = mat2d.clone(matA); }); 59 …ement array initialized to the values in matA", function() { expect(result).toBeEqualish(matA); }); 63 beforeEach(function() { result = mat2d.copy(out, matA); }); 64 it("should place values into out", function() { expect(out).toBeEqualish(matA); }); 76 beforeEach(function() { result = mat2d.invert(out, matA); }); 80 it("should not modify matA", function() { expect(matA).toBeEqualish(oldA); }); 84 beforeEach(function() { result = mat2d.invert(matA, matA); }); 86 …it("should place values into matA", function() { expect(matA).toBeEqualish([ -2, 1, 1.5, -0.5, 1, … [all …]
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D | mat3-spec.js | 24 var out, matA, matB, identity, result; 27 matA = [1, 0, 0, 66 beforeEach(function() { result = mat3.clone(matA); }); 67 …ement array initialized to the values in matA", function() { expect(result).toBeEqualish(matA); }); 71 beforeEach(function() { result = mat3.copy(out, matA); }); 72 it("should place values into out", function() { expect(out).toBeEqualish(matA); }); 84 beforeEach(function() { result = mat3.transpose(out, matA); }); 95 expect(matA).toBeEqualish([ 104 beforeEach(function() { result = mat3.transpose(matA, matA); }); 107 expect(matA).toBeEqualish([ [all …]
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D | vec2-spec.js | 362 var matA; 363 beforeEach(function() { matA = [1, 2, 3, 4]; }); 366 beforeEach(function() { result = vec2.transformMat2(out, vecA, matA); }); 371 it("should not modify matA", function() { expect(matA).toBeEqualish([1, 2, 3, 4]); }); 375 beforeEach(function() { result = vec2.transformMat2(vecA, vecA, matA); }); 379 it("should not modify matA", function() { expect(matA).toBeEqualish([1, 2, 3, 4]); }); 384 var matA; 385 beforeEach(function() { matA = [1, 2, 3, 4, 5, 6]; }); 388 beforeEach(function() { result = vec2.transformMat2d(out, vecA, matA); }); 393 … it("should not modify matA", function() { expect(matA).toBeEqualish([1, 2, 3, 4, 5, 6]); }); [all …]
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/external/eigen/doc/snippets/ |
D | TopicAliasing_mult1.cpp | 1 MatrixXf matA(2,2); variable 2 matA << 2, 0, 0, 2; 3 matA = matA * matA; 4 cout << matA;
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D | TopicAliasing_mult3.cpp | 1 MatrixXf matA(2,2); variable 2 matA << 2, 0, 0, 2; 3 matA.noalias() = matA * matA; 4 cout << matA;
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D | Tutorial_AdvancedInitialization_Block.cpp | 1 MatrixXf matA(2, 2); variable 2 matA << 1, 2, 3, 4; 4 matB << matA, matA/10, matA/10, matA;
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D | TopicAliasing_mult2.cpp | 1 MatrixXf matA(2,2), matB(2,2); variable 2 matA << 2, 0, 0, 2; 5 matB = matA * matA; 9 matB.noalias() = matA * matA;
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/external/eigen/Eigen/src/Eigenvalues/ |
D | GeneralizedSelfAdjointEigenSolver.h | 107 GeneralizedSelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB, 109 : Base(matA.cols()) 111 compute(matA, matB, options); 154 GeneralizedSelfAdjointEigenSolver& compute(const MatrixType& matA, const MatrixType& matB, 164 compute(const MatrixType& matA, const MatrixType& matB, int options) in compute() argument 166 eigen_assert(matA.cols()==matA.rows() && matB.rows()==matA.rows() && matB.cols()==matB.rows()); in compute() 185 MatrixType matC = matA.template selfadjointView<Lower>(); in compute() 198 MatrixType matC = matA.template selfadjointView<Lower>(); in compute() 211 MatrixType matC = matA.template selfadjointView<Lower>(); in compute()
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D | HessenbergDecomposition.h | 270 static void _compute(MatrixType& matA, CoeffVectorType& hCoeffs, VectorType& temp); 292 void HessenbergDecomposition<MatrixType>::_compute(MatrixType& matA, CoeffVectorType& hCoeffs, Vect… 294 assert(matA.rows()==matA.cols()); 295 Index n = matA.rows(); 303 matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); 304 matA.col(i).coeffRef(i+1) = beta; 311 matA.bottomRightCorner(remainingSize, remainingSize) 312 .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); 315 matA.rightCols(remainingSize) 316 ….applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1).conjugate(), internal::conj(h), &tem…
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D | Tridiagonalization.h | 26 void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs); 346 void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs) 351 Index n = matA.rows(); 352 eigen_assert(n==matA.cols()); 360 matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); 364 matA.col(i).coeffRef(i+1) = 1; 366 …hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template self… 367 * (conj(h) * matA.col(i).tail(remainingSize))); 369 … (conj(h)*Scalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.… 371 matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>() [all …]
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D | SelfAdjointEigenSolver.h | 333 …SelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = … 334 : m_eivec(matA.cols(), matA.cols()), 335 m_eivalues(matA.cols()), 336 m_subdiag(matA.cols() > 1 ? matA.cols() - 1 : 1), 339 …static_cast<GeneralizedSelfAdjointEigenSolver<MatrixType>*>(this)->compute(matA, matB, computeEige… 347 void compute(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = true) 349 compute(matA, matB, computeEigenvectors ? ComputeEigenvectors : EigenvaluesOnly);
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/external/eigen/Eigen/src/Eigen2Support/ |
D | SVD.h | 109 MatrixType matA(matrix); in compute() 124 m_sigma[k] = matA.col(k).end(m-k).norm(); in compute() 127 if (matA(k,k) < 0.0) in compute() 129 matA.col(k).end(m-k) /= m_sigma[k]; in compute() 130 matA(k,k) += 1.0; in compute() 140 …Scalar t = matA.col(k).end(m-k).eigen2_dot(matA.col(j).end(m-k)); // FIXME dot product or cwise pr… in compute() 141 t = -t/matA(k,k); in compute() 142 matA.col(j).end(m-k) += t * matA.col(k).end(m-k); in compute() 147 e[j] = matA(k,j); in compute() 152 m_matU.col(k).end(m-k) = matA.col(k).end(m-k); in compute() [all …]
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/external/eigen/doc/ |
D | I11_Aliasing.dox | 155 …ltiplication is the only operation in Eigen that assumes aliasing by default. Thus, if \c matA is a 156 matrix, then the statement <tt>matA = matA * matA;</tt> is safe. All other operations in Eigen assu… 169 However, this comes at a price. When executing the expression <tt>matA = matA * matA</tt>, Eigen ev… 170 product in a temporary matrix which is assigned to \c matA after the computation. This is fine. But… 171 the same when the product is assigned to a different matrix (e.g., <tt>matB = matA * matA</tt>). In… 176 aliasing, as follows: <tt>matB.noalias() = matA * matA</tt>. This allows Eigen to evaluate the matr… 177 <tt>matA * matA</tt> directly into \c matB.
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/external/neven/Embedded/common/src/b_TensorEm/ |
D | Int32Mat.h | 115 const int32* matA, 129 int32* matA,
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D | Int32Mat.c | 210 const int32* matA, in bts_Int32Mat_solve() argument 218 bbs_memcpy32( tmpMatA, matA, ( matWidthA * matWidthA ) * bbs_SIZEOF32( int32 ) ); in bts_Int32Mat_solve() 232 int32* matA, in bts_Int32Mat_solve2() argument 246 int32* matL = matA; in bts_Int32Mat_solve2()
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/external/skia/src/effects/ |
D | SkColorMatrix.cpp | 71 void SkColorMatrix::setConcat(const SkColorMatrix& matA, in setConcat() argument 76 if (&matA == this || &matB == this) { in setConcat() 80 const SkScalar* a = matA.fMat; in setConcat()
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/external/chromium_org/third_party/skia/src/effects/ |
D | SkColorMatrix.cpp | 71 void SkColorMatrix::setConcat(const SkColorMatrix& matA, in setConcat() argument 76 if (&matA == this || &matB == this) { in setConcat() 80 const SkScalar* a = matA.fMat; in setConcat()
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/external/opencv/cv/src/ |
D | cvcornersubpix.cpp | 233 CvMat matA, matInvA; in cvFindCornerSubPix() local 239 cvInitMatHeader( &matA, 2, 2, CV_64F, A ); in cvFindCornerSubPix() 242 cvInvert( &matA, &matInvA, CV_SVD ); in cvFindCornerSubPix()
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/external/eigen/test/ |
D | cholesky.cpp | 257 MatrixType matA; in cholesky_bug241() local 258 matA << 1, 1, 1, 1; in cholesky_bug241() 261 VectorType vecX = matA.ldlt().solve(vecB); in cholesky_bug241() 262 VERIFY_IS_APPROX(matA * vecX, vecB); in cholesky_bug241()
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/external/eigen/blas/ |
D | level3_impl.h | 272 Matrix<Scalar,Dynamic,Dynamic,ColMajor> matA(size,size); in EIGEN_BLAS_FUNC() 275 matA.triangularView<Upper>() = matrix(a,size,size,*lda); in EIGEN_BLAS_FUNC() 276 matA.triangularView<Lower>() = matrix(a,size,size,*lda).transpose(); in EIGEN_BLAS_FUNC() 280 matA.triangularView<Lower>() = matrix(a,size,size,*lda); in EIGEN_BLAS_FUNC() 281 matA.triangularView<Upper>() = matrix(a,size,size,*lda).transpose(); in EIGEN_BLAS_FUNC() 284 matrix(c, *m, *n, *ldc) += alpha * matA * matrix(b, *m, *n, *ldb); in EIGEN_BLAS_FUNC() 286 matrix(c, *m, *n, *ldc) += alpha * matrix(b, *m, *n, *ldb) * matA; in EIGEN_BLAS_FUNC()
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/external/opencv/cvaux/src/ |
D | cvepilines.cpp | 2425 CvMat matA = cvMat( 8, 8, CV_64F, A ); in icvComputePerspectiveCoeffs() local 2430 CV_CALL( cvPseudoInverse( &matA, &matInvA )); in icvComputePerspectiveCoeffs() 2565 CvMat matA = cvMat( 8, 8, CV_64F, A ); in cvInitPerspectiveTransform() local 2570 CV_CALL( cvPseudoInverse( &matA, &matInvA )); in cvInitPerspectiveTransform()
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