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full:matrices
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/external/eigen/Eigen/src/Core/
Dot.h
106
/** \returns, for vectors, the squared \em l2 norm of \c *this, and for
matrices
the Frobenius norm.
118
/** \returns, for vectors, the \em l2 norm of \c *this, and for
matrices
the Frobenius norm.
DenseCoeffsBase.h
22
/** \brief Base class providing read-only coefficient access to
matrices
and arrays.
262
/** \brief Base class providing read/write coefficient access to
matrices
and arrays.
554
/** \brief Base class providing direct read-only coefficient access to
matrices
and arrays.
624
/** \brief Base class providing direct read/write coefficient access to
matrices
and arrays.
EigenBase.h
20
* Besides MatrixBase-derived classes, this also includes special matrix classes such as diagonal
matrices
, etc.
MatrixBase.h
19
* \brief Base class for all dense
matrices
, vectors, and expressions
105
* This is not necessarily exactly the return type of eval(). In the case of plain
matrices
,
501
// mixing arrays and
matrices
is not legal
504
// mixing arrays and
matrices
is not legal
SelfCwiseBinaryOp.h
144
// overloaded to honor evaluation of special
matrices
/external/eigen/Eigen/src/Eigenvalues/
ComplexEigenSolver.h
24
* \brief Computes eigenvalues and eigenvectors of general complex
matrices
60
/** \brief Scalar type for
matrices
of type #MatrixType. */
EigenSolver.h
23
* \brief Computes eigenvalues and eigenvectors of general
matrices
27
* class template. Currently, only real
matrices
are supported.
37
* matrix is real. However, we can choose real
matrices
\f$ V \f$ and \f$ D
79
/** \brief Scalar type for
matrices
of type #MatrixType. */
/external/eigen/doc/
AsciiQuickReference.txt
30
4, 5, 6, //
matrices
, which are stacked along cols
144
// Eigen can map existing memory into Eigen
matrices
.
/external/opencv/cxcore/src/
cximage.cpp
44
// C++ classes for image and
matrices
272
"RGB<->Grayscale conversion is not implemented for
matrices
stored in XML/YAML" );
/frameworks/base/docs/html/guide/topics/graphics/
opengl.jd
322
generate and apply projection and camera viewing
matrices
to your objects.</p>
328
matrices
to the coordinates of objects that use this shader.
354
camera viewing
matrices
. The following code shows how to modify the {@link
368
<li><strong>Create projection and camera viewing
matrices
</strong> - Generate the projection and
369
viewing
matrices
to be applied the graphic objects. The following example code shows how to modify
393
<li><strong>Apply projection and camera viewing
matrices
</strong> - To apply the projection and
394
camera view transformations, multiply the
matrices
together and then set them into the vertex
404
// Combine the projection and camera view
matrices
[
all
...]
/external/ceres-solver/include/ceres/
rotation.h
54
// Trivial wrapper to index linear arrays as
matrices
, given a fixed
63
// Conversion functions to and from rotation
matrices
accept
65
// and rotation
matrices
embedded in larger
matrices
(such as a 3x4
/external/ceres-solver/internal/ceres/
block_jacobian_writer.h
31
// A jacobian writer that writes to block sparse
matrices
. The "writer" name is
block_random_access_matrix.h
31
// Interface for
matrices
that allow block based random access.
compressed_row_sparse_matrix.h
62
// as the rows and cols
matrices
do not match the values of
cxsparse.h
103
// sparse
matrices
.
triplet_sparse_matrix.h
43
// manipulate sparse
matrices
in triplet (i,j,s) form. This object is
/external/chromium_org/third_party/WebKit/Source/core/css/
CSSMatrix.cpp
91
// Perform a concatenation of the
matrices
(this * secondMatrix)
/external/chromium_org/third_party/angle/samples/gles2_book/PostSubBuffer/
PostSubBuffer.c
126
// modevleiw and perspective
matrices
together
/external/chromium_org/third_party/mesa/src/docs/OLD/
MESA_sprite_point.spec
50
2. What about texgen and texture
matrices
?
/external/chromium_org/third_party/mesa/src/src/mesa/state_tracker/
st_atom_constbuf.c
69
* transformation
matrices
, fog factors, etc. The rest of the values in
/external/chromium_org/third_party/skia/include/gpu/
GrTypesPriv.h
33
* Gets the vector size of the SLType. Returns -1 for void,
matrices
, and samplers.
/external/eigen/Eigen/src/QR/
ColPivHouseholderQR.h
24
* This class performs a rank-revealing QR decomposition of a matrix \b A into
matrices
\b P, \b Q and \b R
152
* \note This is only for square
matrices
.
154
* \warning a determinant can be very big or small, so for
matrices
167
* \note This is only for square
matrices
.
FullPivHouseholderQR.h
36
* This class performs a rank-revealing QR decomposition of a matrix \b A into
matrices
\b P, \b Q and \b R
172
* \note This is only for square
matrices
.
174
* \warning a determinant can be very big or small, so for
matrices
187
* \note This is only for square
matrices
.
/external/eigen/Eigen/src/SVD/
UpperBidiagonalization.h
94
eigen_assert(rows >= cols && "UpperBidiagonalization is only for
matrices
satisfying rows>=cols.");
/external/eigen/Eigen/src/SparseCore/
SparseProduct.h
165
/** \returns an expression of the product of two sparse
matrices
.
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