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  /external/eigen/doc/snippets/
MatrixBase_triangularView.cpp 3 cout << "Here is the upper-triangular matrix extracted from m:" << endl
5 cout << "Here is the strictly-upper-triangular matrix extracted from m:" << endl
7 cout << "Here is the unit-lower-triangular matrix extracted from m:" << endl
ComplexSchur_matrixT.cpp 4 cout << "The triangular matrix T is:" << endl << schurOfA.matrixT() << endl;
RealSchur_RealSchur_MatrixType.cpp 6 cout << "The quasi-triangular matrix T is:" << endl << schur.matrixT() << endl << endl;
Triangular_solve.cpp 8 " m is upper-triangular:\n"
  /external/tensorflow/tensorflow/core/api_def/base_api/
api_def_CholeskyGrad.pbtxt 7 Algorithm depends only on lower triangular part of the innermost matrices of
15 Algorithm depends only on lower triangular part of the innermost matrices of
api_def_MatrixTriangularSolve.pbtxt 25 lower or upper triangular.
39 summary: "Solves systems of linear equations with upper or lower triangular matrices by"
44 square matrices. If `lower` is `True` then the strictly upper triangular part
46 If `lower` is False then the strictly lower triangular part of each inner-most
api_def_Cholesky.pbtxt 20 The input has to be symmetric and positive definite. Only the lower-triangular
21 part of the input will be used for this operation. The upper-triangular part
api_def_Qr.pbtxt 21 Triangular factor. If `full_matrices` is `False` then shape is
40 # r is a tensor of upper triangular matrices.
api_def_MatrixBandPart.pbtxt 66 tf.matrix_band_part(input, 0, -1) ==> Upper triangular part.
67 tf.matrix_band_part(input, -1, 0) ==> Lower triangular part.
  /external/eigen/bench/btl/data/
action_settings.txt 8 trmm ; "{/*1.5 triangular matrix matrix product}" ; "matrix size" ; 4:5000
9 trisolve_vector ; "{/*1.5 triangular solver - vector (X = inv(L) X)}" ; "size" ; 4:5000
10 trisolve_matrix ; "{/*1.5 triangular solver - matrix (M = inv(L) M)}" ; "size" ; 4:5000
  /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
cholesky_outer_product.py 40 """Compute `g(X) = X @ X.T`; X is lower-triangular, positive-diagonal matrix.
44 Note: the upper-triangular part of X is ignored (whether or not its zero).
47 lower-triangular matrices to the set of SPD matrices follows immediately from
49 positive-diagonal lower-triangular matrix L such that `A = L @ L.T`.
51 To prove the injectivity of g, suppose that L_1 and L_2 are lower-triangular
55 lower-triangular matrix follows from `inv(L_1)` being positive-diagonal
56 lower-triangular (which follows from the diagonal of a triangular matrix being
57 its spectrum), and that the product of two positive-diagonal lower-triangular
58 matrices is another positive-diagonal lower-triangular matrix
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  /external/eigen/Eigen/src/Core/
TriangularMatrix.h 25 * \brief Base class for triangular part in a matrix
153 * \brief Expression of a triangular part in a matrix
155 * \param MatrixType the type of the object in which we are taking the triangular part
156 * \param Mode the kind of triangular matrix expression to construct. Can be #Upper,
161 * This class represents a triangular part of a matrix, not necessarily square. Strictly speaking, for rectangular
286 /** \returns a selfadjoint view of the referenced triangular part which must be either \c #Upper or \c #Lower.
306 /** \returns the determinant of the triangular matrix
326 * \brief Base class for a triangular part in a \b dense matrix
403 * \warning the coordinates must fit into the referenced triangular part
413 * \warning the coordinates must fit into the referenced triangular par
    [all...]
SelfAdjointView.h 19 * \brief Expression of a selfadjoint matrix from a triangular part of a dense matrix
24 * This class is an expression of a sefladjoint matrix from a triangular part of a matrix
86 * \warning the coordinates must fit into the referenced triangular part
96 * \warning the coordinates must fit into the referenced triangular part
115 /** Efficient triangular matrix times vector/matrix product */
124 /** Efficient vector/matrix times triangular matrix product */
145 * a adjoint expression without any overhead. Only the meaningful triangular
168 /** \returns an expression of a triangular view extracted from the current selfadjoint view of a given triangular part
173 * If \c TriMode references the same triangular part than \c *this, then this method simply return a \c TriangularView of the nested expression
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  /external/tensorflow/tensorflow/core/kernels/
mfcc_mel_filterbank.h 34 // triangular-mel-weighted linear-magnitude filterbank, and places the result
47 // Each FFT bin b contributes to two triangular mel channels, with
51 // upper-half of the triangular band.
cholesky_op.cc 61 // the lower triangular part of data_in by default. The upper triangular
70 // Output the lower triangular in a dense form.
132 // Copy the lower triangular part of the input matrices to the output and
133 // set the strictly upper triangular part to zero. We use a pre-existing
  /external/apache-commons-math/src/main/java/org/apache/commons/math/linear/
FieldLUDecomposition.java 28 * triangular matrix with unit diagonal terms and U is an upper triangular matrix.</p>
52 * <p>L is an lower-triangular matrix</p>
59 * <p>U is an upper-triangular matrix</p>
LUDecomposition.java 27 * triangular matrix with unit diagonal terms and U is an upper triangular matrix.</p>
50 * <p>L is an lower-triangular matrix</p>
57 * <p>U is an upper-triangular matrix</p>
CholeskyDecomposition.java 47 * <p>L is an lower-triangular matrix</p>
54 * <p>L<sup>T</sup> is an upper-triangular matrix</p>
  /external/eigen/Eigen/src/Core/products/
TriangularMatrixMatrix.h 41 /* Optimized triangular matrix * matrix (_TRMM++) product built on top of
78 // implements col-major += alpha * op(triangular) * op(general)
158 // align blocks with the end of the triangular part for trapezoidal lhs
183 // => GEBP with the micro triangular block
184 // The trick is to pack this micro block while filling the opposite triangular part with zeros.
185 // To this end we do an extra triangular copy to a small temporary buffer
229 // implements col-major += alpha * op(general) * op(triangular)
306 // align blocks with the end of the triangular part for trapezoidal rhs
315 // size of the triangular part
323 // pack the triangular part of the rhs padding the unrolled blocks with zero
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TriangularMatrixVector_BLAS.h 29 * Triangular matrix-vector product functionality based on ?TRMV.
41 * This file implements triangular matrix-vector multiplication using BLAS
73 // implements col-major: res += alpha * op(triangular) * vector
128 /* Non-square case - doesn't fit to BLAS ?TRMV. Fall to default triangular product*/ \
155 // implements row-major: res += alpha * op(triangular) * vector
210 /* Non-square case - doesn't fit to BLAS ?TRMV. Fall to default triangular product*/ \
  /external/eigen/Eigen/src/SparseLU/
SparseLU_SupernodalMatrix.h 22 * Only the lower triangular matrix has supernodes.
30 * Function for triangular solve
56 * Set appropriate pointers for the lower triangular supernodal matrix
218 const MappedSuperNodalMatrix& m_matrix; // Supernodal lower triangular matrix
229 * \brief Solve with the supernode triangular matrix
272 // Triangular solve
  /external/tensorflow/tensorflow/python/ops/linalg/
linear_operator_lower_triangular.py 15 """`LinearOperator` acting like a lower triangular matrix."""
38 """`LinearOperator` acting like a [batch] square lower triangular matrix.
40 This operator acts like a [batch] lower triangular matrix `A` with shape
50 # Create a 2 x 2 lower-triangular linear operator.
122 The lower triangular part of `tril` defines this operator. The strictly
148 "Only square lower triangular operators supported at this time.")
  /external/eigen/blas/f2c/
dtbmv.c 43 /* upper or lower triangular band matrix, with ( k + 1 ) diagonals. */
50 /* lower triangular matrix as follows: */
52 /* UPLO = 'U' or 'u' A is an upper triangular matrix. */
54 /* UPLO = 'L' or 'l' A is a lower triangular matrix. */
72 /* triangular as follows: */
74 /* DIAG = 'U' or 'u' A is assumed to be unit triangular. */
77 /* triangular. */
96 /* by n part of the array A must contain the upper triangular */
103 /* triangular band matrix from conventional full matrix storage */
114 /* by n part of the array A must contain the lower triangular */
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stbmv.c 43 /* upper or lower triangular band matrix, with ( k + 1 ) diagonals. */
50 /* lower triangular matrix as follows: */
52 /* UPLO = 'U' or 'u' A is an upper triangular matrix. */
54 /* UPLO = 'L' or 'l' A is a lower triangular matrix. */
72 /* triangular as follows: */
74 /* DIAG = 'U' or 'u' A is assumed to be unit triangular. */
77 /* triangular. */
96 /* by n part of the array A must contain the upper triangular */
103 /* triangular band matrix from conventional full matrix storage */
114 /* by n part of the array A must contain the lower triangular */
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  /external/tensorflow/tensorflow/compiler/tf2xla/lib/
triangular_solve.h 24 // Solves systems of linear equations with lower or upper triangular coefficient
45 // triangular part of each innermost matrix in `a` is assumed to be zero and is
51 // `lower` is a boolean, indicating whether the argument `a` is lower-triangular
52 // (true) or upper-triangular (false).

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