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/external/eigen/Eigen/
DCholesky15 /** \defgroup Cholesky_Module Cholesky module
19 …* This module provides two variants of the Cholesky decomposition for selfadjoint (hermitian) matr…
27 * #include <Eigen/Cholesky>
31 #include "src/Cholesky/LLT.h"
32 #include "src/Cholesky/LDLT.h"
35 #include "src/Cholesky/LLT_LAPACKE.h"
DPaStiXSupport30 * - class PastixLLT : a supernodal, parallel LLt Cholesky factorization.
31 * - class PastixLDLT: a supernodal, parallel LDLt Cholesky factorization.
DCholmodSupport24 * - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
25 …* - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit…
DDense3 #include "Cholesky"
DQR15 #include "Cholesky"
DSparseCholesky21 …* This module currently provides two variants of the direct sparse Cholesky decomposition for self…
DEigenvalues15 #include "Cholesky"
DOrderingMethods25 * Using for instance the sparse Cholesky decomposition, it is expected that
/external/tensorflow/tensorflow/compiler/xla/tests/
Dcholesky_test.cc52 LowerTriangle(Cholesky(a, /*lower=*/true)); in XLA_TEST_F()
78 UpperTriangle(Cholesky(a, /*lower=*/false)); in XLA_TEST_F()
103 LowerTriangle(Cholesky(a, /*lower=*/true)); in XLA_TEST_F()
134 LowerTriangle(Cholesky(a, /*lower=*/true)); in XLA_TEST_F()
176 auto cholesky = Triangle(Cholesky(matrix, lower), lower); in XLA_TEST_P()
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_CholeskyGrad.pbtxt6 Output of batch Cholesky algorithm l = cholesky(A). Shape is `[..., M, M]`.
25 summary: "Computes the reverse mode backpropagated gradient of the Cholesky algorithm."
27 For an explanation see "Differentiation of the Cholesky algorithm" by
Dapi_def_Cholesky.pbtxt2 graph_op_name: "Cholesky"
15 summary: "Computes the Cholesky decomposition of one or more square matrices."
25 containing the Cholesky decompositions for all input submatrices `[..., :, :]`.
Dapi_def_MatrixSolveLs.pbtxt50 equations using Cholesky decomposition. Specifically, if \\(m \ge n\\) then
/external/tensorflow/tensorflow/core/api_def/java_api/
Dapi_def_Cholesky.pbtxt2 graph_op_name: "Cholesky"
4 name: "linalg.Cholesky"
/external/tensorflow/tensorflow/core/api_def/python_api/
Dapi_def_Cholesky.pbtxt2 graph_op_name: "Cholesky"
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/
Dcholesky_op.cc29 xla::Triangle(xla::Cholesky(ctx->Input(0), /*lower=*/true), in Compile()
/external/eigen/bench/btl/data/
Daction_settings.txt11 cholesky ; "{/*1.5 Cholesky decomposition}" ; "matrix size" ; 4:5000
/external/eigen/doc/
DDenseDecompositionBenchmark.dox12 …ric covariance matrix \f$ A^T A \f$ for the first four solvers based on Cholesky and LU, as denote…
34 …+ For largely over-constrained problems, the cost of Cholesky/LU decompositions is dominated by th…
DB01_Experimental.dox25 \li Cholesky
DQuickReference.dox19 …t"><td>\link Cholesky_Module Cholesky \endlink</td><td>\code#include <Eigen/Cholesky>\endcode</td>…
25 …code#include <Eigen/Dense>\endcode</td><td>Includes Core, Geometry, LU, Cholesky, SVD, QR, and Eig…
717 // via a standard Cholesky factorization
719 // via a Cholesky factorization with pivoting
DAsciiQuickReference.txt198 x = A.ldlt().solve(b)); // A sym. p.s.d. #include <Eigen/Cholesky>
199 x = A.llt() .solve(b)); // A sym. p.d. #include <Eigen/Cholesky>
DInplaceDecomposition.dox5 Starting from %Eigen 3.3, the LU, Cholesky, and QR decompositions can operate \em inplace, that is,…
DUsingBlasLapackBackends.dox91 <tr class="alt"><td>Cholesky decomposition \n \c EIGEN_USE_LAPACKE \n \c EIGEN_USE_LAPACKE_STRICT <…
/external/tensorflow/tensorflow/compiler/xla/python/
Dlocal_computation_builder.cc717 LocalOp ComputationBuilder::Cholesky(const LocalOp& a, bool lower) { in Cholesky() function in xla::swig::ComputationBuilder
718 return xla::Cholesky(a.op(), lower); in Cholesky()
Dlocal_computation_builder.h361 LocalOp Cholesky(const LocalOp& a, bool lower);
Dlocal_computation_builder.i395 %unignore xla::swig::ComputationBuilder::Cholesky;

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