| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| MatrixExponential.h | 31 * changed (or destroyed) before compute() is called.
42 void compute(ResultType &result);
50 /** \brief Compute the (3,3)-Padé approximant to the exponential.
59 /** \brief Compute the (5,5)-Padé approximant to the exponential.
68 /** \brief Compute the (7,7)-Padé approximant to the exponential.
77 /** \brief Compute the (9,9)-Padé approximant to the exponential.
86 /** \brief Compute the (13,13)-Padé approximant to the exponential.
95 /** \brief Compute the (17,17)-Padé approximant to the exponential.
106 /** \brief Compute Padé approximant to the exponential.
121 /** \brief Compute Padé approximant to the exponential
178 void MatrixExponential<MatrixType>::compute(ResultType &result) function in class:Eigen::MatrixExponential
[all...] |
| MatrixLogarithm.h | 44 /** \brief Compute matrix logarithm of atomic matrix
48 MatrixType compute(const MatrixType& A);
80 /** \brief Compute logarithm of triangular matrix with clustered eigenvalues. */
82 MatrixType MatrixLogarithmAtomic<MatrixType>::compute(const MatrixType& A) function in class:Eigen::MatrixLogarithmAtomic
95 /** \brief Compute logarithm of 2x2 triangular matrix. */
123 /** \brief Compute logarithm of triangular matrices with size > 2.
148 MatrixSquareRootTriangular<MatrixType>(T).compute(sqrtT);
214 /* \brief Compute Pade approximation to matrix logarithm */
434 /** \brief Compute the matrix logarithm.
453 mf.compute(result)
[all...] |
| /packages/apps/Gallery2/src/com/android/gallery3d/data/ |
| TimeClustering.java | 145 compute(items.get(i));
148 compute(null);
192 private void compute(SmallItem currentItem) { method in class:TimeClustering
|
| /external/chromium_org/third_party/libvpx/source/libvpx/vp8/common/ppc/ |
| sad_altivec.asm | 70 ;# compute difference on first row
91 ;# compute difference on second row
|
| /external/chromium_org/tools/telemetry/telemetry/web_perf/metrics/ |
| rendering_stats.py | 53 """ Compute the input event latency.
103 that compute benchmark metrics from this data.
153 # can't compute any meaningful metrics.
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| /external/eigen/Eigen/src/Eigenvalues/ |
| EigenSolver.h | 46 * Call the function compute() to compute the eigenvalues and eigenvectors of
109 * perform decompositions via EigenSolver::compute(const MatrixType&, bool).
111 * \sa compute() for an example.
138 * This constructor calls compute() to compute the eigenvalues
144 * \sa compute()
155 compute(matrix, computeEigenvectors);
164 * compute(const MatrixType&, bool) has been called before, and
186 * compute(const MatrixType&, bool) has been called before, an
365 EigenSolver<MatrixType>::compute(const MatrixType& matrix, bool computeEigenvectors) function in class:Eigen::EigenSolver
[all...] |
| HessenbergDecomposition.h | 45 * Call the function compute() to compute the Hessenberg decomposition of a
94 * perform decompositions via compute(). The \p size parameter is only
98 * \sa compute() for an example.
113 * This constructor calls compute() to compute the Hessenberg
150 HessenbergDecomposition& compute(const MatrixType& matrix) function in class:Eigen::HessenbergDecomposition
169 * or the member function compute(const MatrixType&) has been called
170 * before to compute the Hessenberg decomposition of a matrix.
189 * or the member function compute(const MatrixType&) has been calle
[all...] |
| RealSchur.h | 36 * A, and thus the real Schur decomposition is used in EigenSolver to compute
39 * Call the function compute() to compute the real Schur decomposition of a
77 * perform decompositions via compute(). The \p size parameter is only
81 * \sa compute() for an example.
98 * This constructor calls compute() to compute the Schur decomposition.
112 compute(matrix, computeU);
120 * member function compute(const MatrixType&, bool) has been called before
121 * to compute the Schur decomposition of a matrix, and \p computeU was se
246 RealSchur<MatrixType>& RealSchur<MatrixType>::compute(const MatrixType& matrix, bool computeU) function in class:Eigen::RealSchur
[all...] |
| /external/eigen/test/ |
| cholesky.cpp | 110 chollo.compute(neg);
194 ldltlo.compute(A);
210 ldltlo.compute(A);
229 ldltlo.compute(A);
|
| /external/libvpx/libvpx/vp8/common/ppc/ |
| sad_altivec.asm | 70 ;# compute difference on first row
91 ;# compute difference on second row
|
| /frameworks/rs/ |
| rsElement.h | 161 void compute();
|
| rsType.h | 92 void compute();
|
| /hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/vp8/common/ppc/ |
| sad_altivec.asm | 70 ;# compute difference on first row
91 ;# compute difference on second row
|
| /prebuilts/ndk/9/platforms/android-19/arch-arm/usr/include/rs/ |
| rsElement.h | 158 void compute();
|
| rsType.h | 90 void compute();
|
| /prebuilts/ndk/9/platforms/android-19/arch-mips/usr/include/rs/ |
| rsElement.h | 158 void compute();
|
| rsType.h | 90 void compute();
|
| /prebuilts/ndk/9/platforms/android-19/arch-x86/usr/include/rs/ |
| rsElement.h | 158 void compute();
|
| rsType.h | 90 void compute();
|
| /external/eigen/Eigen/src/SPQRSupport/ |
| SuiteSparseQRSupport.h | 82 compute(matrix);
99 void compute(const _MatrixType& matrix) function in class:Eigen::SPQR
132 * \sa compute()
137 eigen_assert(m_isInitialized && " The QR factorization should be computed first, call compute()");
146 eigen_assert(m_isInitialized && " The QR factorization should be computed first, call compute()");
149 //Compute Q^T * b
166 eigen_assert(m_isInitialized && " The QR factorization should be computed first, call compute()");
|
| /external/eigen/unsupported/Eigen/src/IterativeSolvers/ |
| IncompleteCholesky.h | 46 compute(matrix);
85 void compute (const MatrixType& matrix) function in class:Eigen::IncompleteCholesky
164 // Scale and compute the shift for the matrix
|
| /external/guava/guava-gwt/src-super/com/google/common/cache/super/com/google/common/cache/ |
| CacheBuilder.java | 297 result = compute(key);
302 private V compute(K key) throws ExecutionException { method in class:CacheBuilder.LocalCache
|
| /external/eigen/unsupported/Eigen/src/SVD/ |
| BDCSVD.h | 76 * perform decompositions via BDCSVD::compute(const MatrixType&).
111 compute(matrix, computationOptions);
127 SVDBase<MatrixType>& compute(const MatrixType& matrix, unsigned int computationOptions);
133 * This method uses the current \a computationOptions, as already passed to the constructor or to compute(const MatrixType&, unsigned int).
135 SVDBase<MatrixType>& compute(const MatrixType& matrix) function in class:Eigen::BDCSVD
137 return compute(matrix, this->m_computationOptions);
171 eigen_assert(this->computeV() && "This SVD decomposition didn't compute U. Did you ask for it?");
176 eigen_assert(this->computeU() && "This SVD decomposition didn't compute U. Did you ask for it?");
187 eigen_assert(this->computeU() && "This SVD decomposition didn't compute V. Did you ask for it?");
192 eigen_assert(this->computeV() && "This SVD decomposition didn't compute V. Did you ask for it?")
255 BDCSVD<Matrix<int, Dynamic, Dynamic> >::compute(const MatrixType& matrix, unsigned int computationOptions) { function in class:Eigen::BDCSVD
272 BDCSVD<MatrixType>::compute(const MatrixType& matrix, unsigned int computationOptions) function in class:Eigen::BDCSVD
[all...] |
| /external/eigen/Eigen/src/Cholesky/ |
| LDLT.h | 31 * \param MatrixType the type of the matrix of which to compute the LDL^T Cholesky decomposition
73 * perform decompositions via LDLT::compute(const MatrixType&).
108 compute(matrix);
206 LDLT& compute(const MatrixType& matrix);
240 * Used to compute and store the Cholesky decomposition A = L D L^* = U^* D U.
432 /** Compute / recompute the LDLT decomposition A = L D L^* = U^* D U of \a matrix
435 LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::compute(const MatrixType& a) function in class:Eigen::LDLT
452 /** Update the LDLT decomposition: given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
|
| LLT.h | 76 * perform decompositions via LLT::compute(const MatrixType&).
93 compute(matrix);
144 LLT& compute(const MatrixType& matrix);
178 * Used to compute and store L
385 LLT<MatrixType,_UpLo>& LLT<MatrixType,_UpLo>::compute(const MatrixType& a) function in class:Eigen::LLT
|
