/external/eigen/unsupported/test/ |
jacobisvd.cpp | 85 VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeFullU|ComputeThinV)) 86 VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeThinU|ComputeThinV)) 87 VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeThinU|ComputeFullV)) 129 svd.compute(M); // just check we don't loop indefinitely
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/external/mesa3d/docs/ |
MESA_pixmap_colormap.spec | 34 in order to compute pixel values during rendering. 65 to compute pixel values from RGB values Mesa requires a colormap.
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/packages/apps/Gallery2/src/com/android/gallery3d/filtershow/pipeline/ |
UpdatePreviewTask.java | 61 mPreviewPipeline.compute(buffer, renderingPreset, 0);
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/external/eigen/Eigen/src/Eigenvalues/ |
SelfAdjointEigenSolver.h | 53 * Call the function compute() to compute the eigenvalues and eigenvectors of 105 * perform decompositions via compute(). This constructor 125 * intends to perform decompositions via compute(). The \p size 129 * \sa compute() for an example 144 * This constructor calls compute(const MatrixType&, int) to compute the 151 * \sa compute(const MatrixType&, int) 159 compute(matrix, options); 192 SelfAdjointEigenSolver& compute(const MatrixType& matrix, int options = ComputeEigenvectors) 342 void compute(const MatrixType& matrix, bool computeEigenvectors) function in class:Eigen::SelfAdjointEigenSolver 347 void compute(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = true) function in class:Eigen::SelfAdjointEigenSolver 385 ::compute(const MatrixType& matrix, int options) function in class:Eigen::SelfAdjointEigenSolver [all...] |
ComplexSchur.h | 40 * Call the function compute() to compute the Schur decomposition of 88 * intends to perform decompositions via compute(). The \p size 92 * \sa compute() for an example. 108 * This constructor calls compute() to compute the Schur decomposition. 120 compute(matrix, computeU); 129 * member function compute(const MatrixType& matrix, bool computeU) 130 * has been called before to compute the Schur decomposition of a 150 * member function compute(const MatrixType& matrix, bool computeU 316 ComplexSchur<MatrixType>& ComplexSchur<MatrixType>::compute(const MatrixType& matrix, bool computeU) function in class:Eigen::ComplexSchur [all...] |
ComplexSchur_MKL.h | 45 ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \
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RealSchur_MKL.h | 45 RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \
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SelfAdjointEigenSolver_MKL.h | 45 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, int options) \
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/external/eigen/Eigen/src/SparseCholesky/ |
SimplicialCholesky.h | 58 derived().compute(matrix); 84 * \sa compute() 98 * \sa compute() 155 eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()"); 185 void compute(const MatrixType& matrix) function in class:Eigen::SimplicialCholeskyBase 340 SimplicialLLT& compute(const MatrixType& matrix) function in class:Eigen::SimplicialLLT 342 Base::template compute<false>(matrix); 435 SimplicialLDLT& compute(const MatrixType& matrix) function in class:Eigen::SimplicialLDLT 437 Base::template compute<true>(matrix); 497 compute(matrix) 527 SimplicialCholesky& compute(const MatrixType& matrix) function in class:Eigen::SimplicialCholesky [all...] |
/external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
MatrixSquareRoot.h | 37 * changed (or destroyed) before compute() is called. 45 /** \brief Compute the matrix square root 53 template <typename ResultType> void compute(ResultType &result); 80 void MatrixSquareRootQuasiTriangular<MatrixType>::compute(ResultType &result) function in class:Eigen::MatrixSquareRootQuasiTriangular 265 /** \brief Compute the matrix square root 274 template <typename ResultType> void compute(ResultType &result); 282 void MatrixSquareRootTriangular<MatrixType>::compute(ResultType &result) function in class:Eigen::MatrixSquareRootTriangular 286 // Compute square root of m_A and store it in upper triangular part of result 322 * changed (or destroyed) before compute() is called. 326 /** \brief Compute the matrix square roo 350 template <typename ResultType> void compute(ResultType &result) function in class:Eigen::MatrixSquareRoot 383 template <typename ResultType> void compute(ResultType &result) function in class:Eigen::MatrixSquareRoot [all...] |
MatrixFunctionAtomic.h | 35 * \param[in] f matrix function to compute. 39 /** \brief Compute matrix function of atomic matrix 43 MatrixType compute(const MatrixType& A); 71 MatrixType MatrixFunctionAtomic<MatrixType>::compute(const MatrixType& A) function in class:Eigen::MatrixFunctionAtomic 93 /** \brief Compute \c m_mu. */
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MatrixPower.h | 29 { m_pow.compute(res, m_p); } 68 void compute(MatrixType& res) const; 77 void MatrixPowerAtomic<MatrixType>::compute(MatrixType& res) const function in class:Eigen::MatrixPowerAtomic 168 MatrixSquareRootTriangular<MatrixType>(T).compute(sqrtT); 266 * Therefore, if you want to compute multiple (>= 2) matrix powers 311 * \brief Compute the matrix power. 318 void compute(ResultType& res, RealScalar p); 356 void MatrixPower<MatrixType>::compute(ResultType& res, RealScalar p) function in class:Eigen::MatrixPower 420 MatrixPowerAtomic<ComplexMatrix>(m_T, p).compute(m_fT); 473 * \brief Compute the matrix power [all...] |
MatrixFunction.h | 29 * \p AtomicType and uses these results to compute the matrix function of the whole matrix. The class 30 * \p AtomicType should have a \p compute() member function for computing the matrix function of a block. 47 * changed (or destroyed) before compute() is called. 51 /** \brief Compute the matrix function. 60 void compute(ResultType &result); 92 /** \brief Compute the matrix function. 102 void compute(ResultType& result) function in class:Eigen::MatrixFunction 107 mf.compute(Cresult); 144 template <typename ResultType> void compute(ResultType& result); 195 /** \brief Compute the matrix function 202 void MatrixFunction<MatrixType,AtomicType,1>::compute(ResultType& result) function in class:Eigen::MatrixFunction [all...] |
/external/eigen/Eigen/src/CholmodSupport/ |
CholmodSupport.h | 184 compute(matrix); 212 Derived& compute(const MatrixType& matrix) function in class:Eigen::CholmodBase 221 * \sa compute() 235 * \sa compute() 295 eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()"); 317 eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()"); 398 compute(matrix); 445 compute(matrix); 490 compute(matrix); 537 compute(matrix) [all...] |
/external/chromium_org/extensions/renderer/resources/ |
entry_id_manager.js | 40 // If an entry has not been registered, compute its id and register it.
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/external/eigen/Eigen/src/PardisoSupport/ |
PardisoSupport.h | 167 Derived& compute(const MatrixType& matrix); 171 * \sa compute() 185 * \sa compute() 285 Derived& PardisoImpl<Derived>::compute(const MatrixType& a) 417 using Base::compute; 430 compute(matrix); 471 using Base::compute; 484 compute(matrix); 531 using Base::compute; 545 compute(matrix) [all...] |
/external/eigen/unsupported/Eigen/src/SVD/ |
SVDBase.h | 90 SVDBase& compute(const MatrixType& matrix, unsigned int computationOptions); 96 * This method uses the current \a computationOptions, as already passed to the constructor or to compute(const MatrixType&, unsigned int). 98 //virtual SVDBase& compute(const MatrixType& matrix) = 0; 99 SVDBase& compute(const MatrixType& matrix); 113 eigen_assert(computeU() && "This SVD decomposition didn't compute U. Did you ask for it?"); 129 eigen_assert(computeV() && "This SVD decomposition didn't compute V. Did you ask for it?");
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JacobiSVD.h | 91 m_qr.compute(matrix); 138 m_qr.compute(m_adjoint); 176 m_qr.compute(matrix); 231 m_qr.compute(m_adjoint); 276 m_qr.compute(matrix); 330 m_qr.compute(m_adjoint); 527 * perform decompositions via JacobiSVD::compute(const MatrixType&). 559 compute(matrix, computationOptions); 572 SVDBase<MatrixType>& compute(const MatrixType& matrix, unsigned int computationOptions); 578 * This method uses the current \a computationOptions, as already passed to the constructor or to compute(const MatrixType&, unsigned int) 580 SVDBase<MatrixType>& compute(const MatrixType& matrix) function in class:Eigen::JacobiSVD 640 JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType& matrix, unsigned int computationOptions) function in class:Eigen::JacobiSVD [all...] |
/external/llvm/lib/CodeGen/ |
RegisterClassInfo.cpp | 76 /// compute - Compute the preferred allocation order for RC with reserved 79 void RegisterClassInfo::compute(const TargetRegisterClass *RC) const { function in class:RegisterClassInfo 168 // For efficiency, only compute the set order for the largest set. 175 compute(RC);
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/libcore/luni/src/main/java/java/util/concurrent/ |
CountedCompleter.java | 42 * #compute}, that should in most cases (as illustrated below), invoke 70 * exceptional completion of method {@code compute}. Upon any 121 * public void compute() { // version 1 143 * public void compute() { // version 2 148 * new ForEach(this, array, op, lo, mid).compute(); // direct invoke 166 * public void compute() { // version 3 206 * public void compute() { // similar to ForEach version 3 264 * public void compute() { 273 * left.compute(); // directly execute left 336 * public void compute() { 425 public abstract void compute(); method in class:CountedCompleter 684 compute(); method [all...] |
/external/eigen/test/eigen2/ |
eigen2_qr.cpp | 42 hess.compute(b);
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/external/eigen/test/ |
hessenberg.cpp | 32 // Test whether compute() and constructor returns same result 35 cs1.compute(A);
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/hardware/qcom/display/msm8960/liboverlay/ |
overlayUtils.cpp | 223 static inline int compute(const uint32_t& x, const uint32_t& y, function in namespace:overlay::utils 233 srcCrop.x = compute(whf.w, srcCrop.x, srcCrop.w); 236 srcCrop.y = compute(whf.h, srcCrop.y, srcCrop.h); 240 srcCrop.x = compute(whf.h,
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/hardware/qcom/display/msm8974/liboverlay/ |
overlayUtils.cpp | 293 static inline int compute(const uint32_t& x, const uint32_t& y, function in namespace:overlay::utils 300 srcCrop.x = compute(whf.w, srcCrop.x, srcCrop.w); 303 srcCrop.y = compute(whf.h, srcCrop.y, srcCrop.h); 307 srcCrop.x = compute(whf.h,
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/external/eigen/Eigen/src/SVD/ |
JacobiSVD.h | 91 m_qr.compute(matrix); 138 m_qr.compute(m_adjoint); 176 m_qr.compute(matrix); 231 m_qr.compute(m_adjoint); 276 m_qr.compute(matrix); 330 m_qr.compute(m_adjoint); 534 * perform decompositions via JacobiSVD::compute(const MatrixType&). 578 compute(matrix, computationOptions); 591 JacobiSVD& compute(const MatrixType& matrix, unsigned int computationOptions); 597 * This method uses the current \a computationOptions, as already passed to the constructor or to compute(const MatrixType&, unsigned int) 599 JacobiSVD& compute(const MatrixType& matrix) function in class:Eigen::JacobiSVD 817 JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType& matrix, unsigned int computationOptions) function in class:Eigen::JacobiSVD [all...] |