| /external/eigen/doc/ |
| UsingIntelMKL.dox | 29 * Content : Documentation on the use of Intel MKL through Eigen
33 namespace Eigen {
35 /** \page TopicUsingIntelMKL Using IntelŪ Math Kernel Library from Eigen
37 \section TopicUsingIntelMKL_Intro Eigen and IntelŪ Math Kernel Library (IntelŪ MKL)
39 Since Eigen version 3.1 and later, users can benefit from built-in Intel MKL optimizations with an installed copy of Intel MKL 10.3 (or later).
40 <a href="http://eigen.tuxfamily.org/Counter/redirect_to_mkl.php"> Intel MKL </a> provides highly optimized multi-threaded mathematical routines for x86-compatible architectures.
45 Using Intel MKL through Eigen is easy:
46 -# define the \c EIGEN_USE_MKL_ALL macro before including any Eigen's header
50 When doing so, a number of Eigen's algorithms are silently substituted with calls to Intel MKL routines.
69 The breadth of Eigen functionality covered by Intel MKL is listed in the table below
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| /external/ceres-solver/internal/ceres/generated/ |
| partitioned_matrix_view_d_d_d.cc | 45 #include "ceres/internal/eigen.h"
50 template class PartitionedMatrixView<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic>;
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| schur_eliminator_d_d_d.cc | 45 #include "ceres/internal/eigen.h"
50 template class SchurEliminator<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic>;
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| partitioned_matrix_view_2_d_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class PartitionedMatrixView<2, Eigen::Dynamic, Eigen::Dynamic>;
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| schur_eliminator_2_d_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class SchurEliminator<2, Eigen::Dynamic, Eigen::Dynamic>;
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| partitioned_matrix_view_2_2_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class PartitionedMatrixView<2, 2, Eigen::Dynamic>;
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| partitioned_matrix_view_2_3_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class PartitionedMatrixView<2, 3, Eigen::Dynamic>;
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| partitioned_matrix_view_2_4_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class PartitionedMatrixView<2, 4, Eigen::Dynamic>;
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| partitioned_matrix_view_4_4_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class PartitionedMatrixView<4, 4, Eigen::Dynamic>;
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| schur_eliminator_2_2_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class SchurEliminator<2, 2, Eigen::Dynamic>;
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| schur_eliminator_2_3_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class SchurEliminator<2, 3, Eigen::Dynamic>;
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| schur_eliminator_2_4_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class SchurEliminator<2, 4, Eigen::Dynamic>;
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| schur_eliminator_4_4_d.cc | 49 #include "ceres/internal/eigen.h"
54 template class SchurEliminator<4, 4, Eigen::Dynamic>;
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| /external/ceres-solver/include/ceres/internal/ |
| eigen.h | 34 #include "Eigen/Core"
38 typedef Eigen::Matrix<double, Eigen::Dynamic, 1> Vector;
39 typedef Eigen::Matrix<double,
40 Eigen::Dynamic,
41 Eigen::Dynamic,
42 Eigen::RowMajor> Matrix;
43 typedef Eigen::Map<Vector> VectorRef;
44 typedef Eigen::Map<Matrix> MatrixRef;
45 typedef Eigen::Map<const Vector> ConstVectorRef
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| /external/eigen/lapack/ |
| lapack_common.h | 1 // This file is part of Eigen, a lightweight C++ template library
19 typedef Eigen::Map<Eigen::Transpositions<Eigen::Dynamic,Eigen::Dynamic,int> > PivotsType;
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| /external/eigen/demos/opengl/ |
| camera.h | 1 // This file is part of Eigen, a lightweight C++ template library
13 #include <Eigen/Geometry>
22 inline Frame(const Eigen::Vector3f& pos = Eigen::Vector3f::Zero(),
23 const Eigen::Quaternionf& o = Eigen::Quaternionf())
32 Eigen::Quaternionf orientation;
33 Eigen::Vector3f position;
60 void setPosition(const Eigen::Vector3f& pos);
61 inline const Eigen::Vector3f& position(void) const { return mFrame.position;
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| /external/eigen/doc/examples/ |
| Tutorial_ReductionsVisitorsBroadcasting_broadcast_1nn.cpp | 2 #include <Eigen/Dense>
5 using namespace Eigen;
9 Eigen::MatrixXf m(2,4);
10 Eigen::VectorXf v(2);
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| class_Block.cpp | 1 #include <Eigen/Core>
3 using namespace Eigen;
7 Eigen::Block<Derived>
10 return Eigen::Block<Derived>(m.derived(), 0, 0, rows, cols);
14 const Eigen::Block<const Derived>
17 return Eigen::Block<const Derived>(m.derived(), 0, 0, rows, cols);
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| class_FixedBlock.cpp | 1 #include <Eigen/Core>
3 using namespace Eigen;
7 Eigen::Block<Derived, 2, 2>
10 return Eigen::Block<Derived, 2, 2>(m.derived(), 0, 0);
14 const Eigen::Block<const Derived, 2, 2>
17 return Eigen::Block<const Derived, 2, 2>(m.derived(), 0, 0);
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| class_FixedVectorBlock.cpp | 1 #include <Eigen/Core>
3 using namespace Eigen;
7 Eigen::VectorBlock<Derived, 2>
10 return Eigen::VectorBlock<Derived, 2>(v.derived(), 0);
14 const Eigen::VectorBlock<const Derived, 2>
17 return Eigen::VectorBlock<const Derived, 2>(v.derived(), 0);
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| DenseBase_middleCols_int.cpp | 1 #include <Eigen/Core>
4 using namespace Eigen;
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| DenseBase_middleRows_int.cpp | 1 #include <Eigen/Core>
4 using namespace Eigen;
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| DenseBase_template_int_middleCols.cpp | 1 #include <Eigen/Core>
4 using namespace Eigen;
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| DenseBase_template_int_middleRows.cpp | 1 #include <Eigen/Core>
4 using namespace Eigen;
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| QuickStart_example.cpp | 2 #include <Eigen/Dense>
4 using Eigen::MatrixXd;
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