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  /external/eigen/bench/btl/libs/ublas/
ublas_interface.hh 26 #include <boost/numeric/ublas/triangular.hpp>
  /external/eigen/blas/
level2_impl.h 286 * upper or lower triangular band matrix, with ( k + 1 ) diagonals.
344 * non-unit, upper or lower triangular band matrix, with ( k + 1 )
422 * upper or lower triangular matrix, supplied in packed form.
494 * non-unit, upper or lower triangular matrix, supplied in packed form.
  /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/
LMpar.h 44 // Make a copy of the triangular factor.
  /external/python/cpython2/Lib/test/
test_random.py 511 g.random = x[:].pop; g.triangular(0.0, 1.0, 1.0/3.0)
521 (g.triangular, (0.0, 1.0, 1.0/3.0), 4.0/9.0, 7.0/9.0/18.0),
550 (g.triangular, (10.0, 10.0), 10.0),
551 (g.triangular, (10.0, 10.0, 10.0), 10.0),
  /external/tensorflow/tensorflow/compiler/tests/
cholesky_op_test.py 41 # Check that the cholesky is lower triangular, and has positive diagonal
matrix_triangular_solve_op_test.py 76 a = rng.randn(5, 5) # the `a` matrix is not lower-triangular
  /prebuilts/gdb/darwin-x86/lib/python2.7/test/
test_random.py 506 g.random = x[:].pop; g.triangular(0.0, 1.0, 1.0/3.0)
516 (g.triangular, (0.0, 1.0, 1.0/3.0), 4.0/9.0, 7.0/9.0/18.0),
545 (g.triangular, (10.0, 10.0), 10.0),
546 #(g.triangular, (10.0, 10.0, 10.0), 10.0),
  /prebuilts/gdb/linux-x86/lib/python2.7/test/
test_random.py 506 g.random = x[:].pop; g.triangular(0.0, 1.0, 1.0/3.0)
516 (g.triangular, (0.0, 1.0, 1.0/3.0), 4.0/9.0, 7.0/9.0/18.0),
545 (g.triangular, (10.0, 10.0), 10.0),
546 #(g.triangular, (10.0, 10.0, 10.0), 10.0),
  /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/test/
test_random.py 506 g.random = x[:].pop; g.triangular(0.0, 1.0, 1.0/3.0)
516 (g.triangular, (0.0, 1.0, 1.0/3.0), 4.0/9.0, 7.0/9.0/18.0),
545 (g.triangular, (10.0, 10.0), 10.0),
546 #(g.triangular, (10.0, 10.0, 10.0), 10.0),
  /prebuilts/python/linux-x86/2.7.5/lib/python2.7/test/
test_random.py 506 g.random = x[:].pop; g.triangular(0.0, 1.0, 1.0/3.0)
516 (g.triangular, (0.0, 1.0, 1.0/3.0), 4.0/9.0, 7.0/9.0/18.0),
545 (g.triangular, (10.0, 10.0), 10.0),
546 #(g.triangular, (10.0, 10.0, 10.0), 10.0),
  /external/tensorflow/tensorflow/python/ops/distributions/
util.py 794 """Creates a (batch of) triangular matrix from a vector of inputs.
796 Created matrix can be lower- or upper-triangular. (It is more efficient to
799 Triangular matrix elements are filled in a clockwise spiral. See example,
824 x: `Tensor` representing lower (or upper) triangular elements.
826 triangular (`True`) or lower triangular (`False`, default).
830 tril: `Tensor` with lower (or upper) triangular elements filled from `x`.
833 ValueError: if `x` cannot be mapped to a triangular matrix.
844 "correspond to a triangular matrix.".format(m))
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  /external/tensorflow/tensorflow/stream_executor/
blas.h 70 // Specifies whether the upper or lower triangular part of a
77 // Specifies whether a matrix is unit triangular.
    [all...]
  /external/apache-commons-math/src/main/java/org/apache/commons/math/linear/
FieldLUDecompositionImpl.java 30 * L, U and P that satisfy: PA = LU, L is lower triangular, and U is
31 * upper triangular and P is a permutation matrix. All matrices are
  /external/deqp/external/openglcts/modules/glesext/tessellation_shader/
esextcTessellationShaderInvariance.hpp 260 * vertex shaders, tessellate a number of triangular and quad geometry with
281 * 4. For triangular tessellation, the test should identify vertices
  /external/eigen/Eigen/src/Eigenvalues/
HessenbergDecomposition.h 41 * subdiagonal, so it is almost upper triangular. The Hessenberg decomposition
287 * The result is written in the lower triangular part of \a matA.
  /external/tensorflow/tensorflow/core/kernels/
determinant_op.cc 234 // upper triangular factor of the LU factorization, which is written to
383 // upper triangular factor of the LU factorization, which is written to
  /external/eigen/Eigen/src/IterativeLinearSolvers/
ConjugateGradient.h 116 * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower,
  /external/eigen/Eigen/src/SparseCholesky/
SimplicialCholesky_impl.h 146 /* compute numerical values kth row of L (a sparse triangular solve) */
  /external/eigen/Eigen/src/SparseLU/
SparseLU_column_bmod.h 102 // Perform a triangular solver and block update,
  /external/eigen/test/
CMakeLists.txt 194 ei_add_test(triangular)
  /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/
csiszar_divergence_test.py 280 self.assertAllClose(cd.triangular(0.).eval(), 0.)
285 cd.triangular(self._logu).eval(),
287 self._logu, cd.triangular).eval())
292 cd.triangular(self._logu).eval(),
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  /external/tensorflow/tensorflow/contrib/distributions/python/ops/
mvn_full_covariance.py 178 # However, cholesky() ignores the upper triangular part, so we do need
  /external/tensorflow/tensorflow/contrib/lite/models/testdata/g3doc/
README.md 11 ultimately produces a log-mel filterbank (the log of the triangular mel filters
  /external/tensorflow/tensorflow/contrib/signal/python/kernel_tests/
mel_ops_test.py 85 spectrum. This corresponds to the lower edge of the lowest triangular
  /external/tensorflow/tensorflow/contrib/signal/python/ops/
mel_ops.py 134 lowest triangular band.

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