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  /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/centrality/
katz.py 240 This algorithm uses a direct linear solver to solve the above equation.
  /external/ceres-solver/cmake/
FindSuiteSparse.cmake 1 # Ceres Solver - A fast non-linear least squares minimizer
3 # http://code.google.com/p/ceres-solver/
  /external/ceres-solver/include/ceres/
cost_function_to_functor.h 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
rotation.h 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
jet.h 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
  /external/ceres-solver/internal/ceres/
autodiff_test.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
compressed_row_sparse_matrix.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
covariance_impl.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
covariance_test.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
dynamic_autodiff_cost_function_test.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
schur_eliminator_impl.h 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
visibility_based_preconditioner.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
rotation_test.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
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problem_test.cc 1 // Ceres Solver - A fast non-linear least squares minimizer
3 // http://code.google.com/p/ceres-solver/
    [all...]
  /external/eigen/Eigen/src/UmfPackSupport/
UmfPackSupport.h 121 * \brief A sparse LU factorization and solver based on UmfPack
  /cts/suite/cts/deviceTests/browserbench/assets/octane/
deltablue.js 35 * "The DeltaBlue Algorithm: An Incremental Constraint Hierarchy Solver"
538 * constraint solver.
  /external/eigen/Eigen/src/SuperLUSupport/
SuperLUSupport.h 468 * \brief A sparse direct LU factorization and solver based on the SuperLU library
808 * \brief A sparse direct \b incomplete LU factorization and solver based on the SuperLU library
  /external/llvm/lib/CodeGen/
RegAllocPBQP.cpp 13 // solving this using a PBQP solver, and mapping the solution back to a
17 // The PBQP solver (pbqp.c) provided for this allocator uses a heuristic tuned
  /external/v8/benchmarks/
deltablue.js 35 * "The DeltaBlue Algorithm: An Incremental Constraint Hierarchy Solver"
535 * constraint solver.
  /external/apache-commons-math/src/main/java/org/apache/commons/math/linear/
AbstractRealMatrix.java 37 /** Cached LU solver.
    [all...]
  /external/eigen/Eigen/src/LU/
FullPivLU.h 607 // ok, we have our trapezoid matrix, we can apply the triangular solver.
  /external/llvm/include/llvm/CodeGen/
RegAllocPBQP.h 178 /// \brief Holds solver state and other metadata relevant to each PBQP RA node.
  /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/test/
test_generators.py 1036 # solver below, the number of backtracking levels can be enormous (one
1080 # A conjoin-based N-Queens solver.
1132 # A conjoin-based Knight's Tour solver. This is pretty sophisticated
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  /prebuilts/python/linux-x86/2.7.5/lib/python2.7/test/
test_generators.py 1036 # solver below, the number of backtracking levels can be enormous (one
1080 # A conjoin-based N-Queens solver.
1132 # A conjoin-based Knight's Tour solver. This is pretty sophisticated
    [all...]
  /external/clang/www/analyzer/
checker_dev_manual.html 225 solver to model symbolic execution.</li>

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