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  /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
  /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.
  /packages/apps/Gallery2/src/com/android/gallery3d/filtershow/pipeline/
UpdatePreviewTask.java 61 mPreviewPipeline.compute(buffer, renderingPreset, 0);
  /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
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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
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ComplexSchur_MKL.h 45 ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \
RealSchur_MKL.h 45 RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \
SelfAdjointEigenSolver_MKL.h 45 SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, int options) \
  /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
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  /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
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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. */
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
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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
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  /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)
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  /external/chromium_org/extensions/renderer/resources/
entry_id_manager.js 40 // If an entry has not been registered, compute its id and register it.
  /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)
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  /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?");
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
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  /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);
  /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
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  /external/eigen/test/eigen2/
eigen2_qr.cpp 42 hess.compute(b);
  /external/eigen/test/
hessenberg.cpp 32 // Test whether compute() and constructor returns same result
35 cs1.compute(A);
  /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,
  /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,
  /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
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