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Eigen
3.2.92
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Base class for a triangular part in a sparse matrix.
This class is an abstract base class of class TriangularView, and objects of type TriangularViewImpl cannot be instantiated. It extends class TriangularView with additional methods which are available for sparse expressions only.
Public Types | |
typedef Eigen::Index | Index |
The interface type of indices. More... | |
typedef Scalar | value_type |
Public Member Functions | |
const CwiseBinaryOp< CustomBinaryOp, const TriangularView< MatrixType, Mode >, const OtherDerived > | binaryExpr (const Eigen::SparseMatrixBase< OtherDerived > &other, const CustomBinaryOp &func=CustomBinaryOp()) const |
Block< TriangularView< MatrixType, Mode > > | block (Index startRow, Index startCol, Index blockRows, Index blockCols) |
const Block< const TriangularView< MatrixType, Mode > > | block (Index startRow, Index startCol, Index blockRows, Index blockCols) const |
Block< TriangularView< MatrixType, Mode >, BlockRows, BlockCols > | block (Index startRow, Index startCol) |
const Block< const TriangularView< MatrixType, Mode >, BlockRows, BlockCols > | block (Index startRow, Index startCol) const |
Block< TriangularView< MatrixType, Mode >, BlockRows, BlockCols > | block (Index startRow, Index startCol, Index blockRows, Index blockCols) |
const Block< const TriangularView< MatrixType, Mode >, BlockRows, BlockCols > | block (Index startRow, Index startCol, Index blockRows, Index blockCols) const |
Block< TriangularView< MatrixType, Mode > > | bottomLeftCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode > > | bottomLeftCorner (Index cRows, Index cCols) const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | bottomLeftCorner () |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | bottomLeftCorner () const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | bottomLeftCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | bottomLeftCorner (Index cRows, Index cCols) const |
Block< TriangularView< MatrixType, Mode > > | bottomRightCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode > > | bottomRightCorner (Index cRows, Index cCols) const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | bottomRightCorner () |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | bottomRightCorner () const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | bottomRightCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | bottomRightCorner (Index cRows, Index cCols) const |
RowsBlockXpr | bottomRows (Index n) |
ConstRowsBlockXpr | bottomRows (Index n) const |
NRowsBlockXpr< N >::Type | bottomRows (Index n=N) |
ConstNRowsBlockXpr< N >::Type | bottomRows (Index n=N) const |
CastXpr< NewType >::Type | cast () const |
ColXpr | col (Index i) |
ConstColXpr | col (Index i) const |
Index | cols () const |
ConjugateReturnType | conjugate () const |
const CwiseAbsReturnType | cwiseAbs () const |
const CwiseAbs2ReturnType | cwiseAbs2 () const |
const CwiseBinaryOp< std::equal_to< Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | cwiseEqual (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const CwiseScalarEqualReturnType | cwiseEqual (const Scalar &s) const |
const CwiseInverseReturnType | cwiseInverse () const |
const CwiseBinaryOp< internal::scalar_max_op< Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | cwiseMax (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const CwiseBinaryOp< internal::scalar_max_op< Scalar >, const TriangularView< MatrixType, Mode >, const ConstantReturnType > | cwiseMax (const Scalar &other) const |
const CwiseBinaryOp< internal::scalar_min_op< Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | cwiseMin (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const CwiseBinaryOp< internal::scalar_min_op< Scalar >, const TriangularView< MatrixType, Mode >, const ConstantReturnType > | cwiseMin (const Scalar &other) const |
const CwiseBinaryOp< std::not_equal_to< Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | cwiseNotEqual (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const CwiseBinaryOp< internal::scalar_product_op< typename TriangularView< MatrixType, Mode >::Scalar, typename OtherDerived::Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | cwiseProduct (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const CwiseBinaryOp< internal::scalar_quotient_op< Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | cwiseQuotient (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const CwiseSignReturnType | cwiseSign () const |
const CwiseSqrtReturnType | cwiseSqrt () const |
TriangularView< MatrixType, Mode > & | derived () |
const TriangularView< MatrixType, Mode > & | derived () const |
const internal::eval< TriangularView< MatrixType, Mode > >::type | eval () const |
SegmentReturnType | head (Index n) |
ConstSegmentReturnType | head (Index n) const |
FixedSegmentReturnType< N >::Type | head (Index n=N) |
ConstFixedSegmentReturnType< N >::Type | head (Index n=N) const |
const ImagReturnType | imag () const |
NonConstImagReturnType | imag () |
Index | innerSize () const |
bool | isVector () const |
ColsBlockXpr | leftCols (Index n) |
ConstColsBlockXpr | leftCols (Index n) const |
NColsBlockXpr< N >::Type | leftCols (Index n=N) |
ConstNColsBlockXpr< N >::Type | leftCols (Index n=N) const |
ColsBlockXpr | middleCols (Index startCol, Index numCols) |
ConstColsBlockXpr | middleCols (Index startCol, Index numCols) const |
NColsBlockXpr< N >::Type | middleCols (Index startCol, Index n=N) |
ConstNColsBlockXpr< N >::Type | middleCols (Index startCol, Index n=N) const |
RowsBlockXpr | middleRows (Index startRow, Index n) |
ConstRowsBlockXpr | middleRows (Index startRow, Index n) const |
NRowsBlockXpr< N >::Type | middleRows (Index startRow, Index n=N) |
ConstNRowsBlockXpr< N >::Type | middleRows (Index startRow, Index n=N) const |
const ScalarMultipleReturnType | operator* (const Scalar &scalar) const |
const ScalarComplexMultipleReturnType | operator* (const std::complex< Scalar > &scalar) const |
const CwiseBinaryOp< internal::scalar_sum_op< Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | operator+ (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const CwiseBinaryOp< internal::scalar_difference_op< Scalar >, const TriangularView< MatrixType, Mode >, const OtherDerived > | operator- (const Eigen::SparseMatrixBase< OtherDerived > &other) const |
const NegativeReturnType | operator- () const |
const ScalarQuotient1ReturnType | operator/ (const Scalar &scalar) const |
Index | outerSize () const |
RealReturnType | real () const |
NonConstRealReturnType | real () |
ColsBlockXpr | rightCols (Index n) |
ConstColsBlockXpr | rightCols (Index n) const |
NColsBlockXpr< N >::Type | rightCols (Index n=N) |
ConstNColsBlockXpr< N >::Type | rightCols (Index n=N) const |
RowXpr | row (Index i) |
ConstRowXpr | row (Index i) const |
Index | rows () const |
SegmentReturnType | segment (Index start, Index n) |
ConstSegmentReturnType | segment (Index start, Index n) const |
FixedSegmentReturnType< N >::Type | segment (Index start, Index n=N) |
ConstFixedSegmentReturnType< N >::Type | segment (Index start, Index n=N) const |
Index | size () const |
SegmentReturnType | tail (Index n) |
ConstSegmentReturnType | tail (Index n) const |
FixedSegmentReturnType< N >::Type | tail (Index n=N) |
ConstFixedSegmentReturnType< N >::Type | tail (Index n=N) const |
Block< TriangularView< MatrixType, Mode > > | topLeftCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode > > | topLeftCorner (Index cRows, Index cCols) const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | topLeftCorner () |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | topLeftCorner () const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | topLeftCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | topLeftCorner (Index cRows, Index cCols) const |
Block< TriangularView< MatrixType, Mode > > | topRightCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode > > | topRightCorner (Index cRows, Index cCols) const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | topRightCorner () |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | topRightCorner () const |
Block< TriangularView< MatrixType, Mode >, CRows, CCols > | topRightCorner (Index cRows, Index cCols) |
const Block< const TriangularView< MatrixType, Mode >, CRows, CCols > | topRightCorner (Index cRows, Index cCols) const |
RowsBlockXpr | topRows (Index n) |
ConstRowsBlockXpr | topRows (Index n) const |
NRowsBlockXpr< N >::Type | topRows (Index n=N) |
ConstNRowsBlockXpr< N >::Type | topRows (Index n=N) const |
SparseSymmetricPermutationProduct< TriangularView< MatrixType, Mode >, Upper|Lower > | twistedBy (const PermutationMatrix< Dynamic, Dynamic, StorageIndex > &perm) const |
const CwiseUnaryOp< CustomUnaryOp, const TriangularView< MatrixType, Mode > > | unaryExpr (const CustomUnaryOp &func=CustomUnaryOp()) const |
Apply a unary operator coefficient-wise. More... | |
const CwiseUnaryView< CustomViewOp, const TriangularView< MatrixType, Mode > > | unaryViewExpr (const CustomViewOp &func=CustomViewOp()) const |
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inherited |
The interface type of indices.
To change this, #define
the preprocessor symbol EIGEN_DEFAULT_DENSE_INDEX_TYPE
.
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inherited |
The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc.
It is an alias for the Scalar type
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inlineinherited |
The template parameter CustomBinaryOp is the type of the functor of the custom operator (see class CwiseBinaryOp for an example)
Here is an example illustrating the use of custom functors:
Output:
(0.68,0.271) (0.823,-0.967) (-0.444,-0.687) (-0.27,0.998) (-0.211,0.435) (-0.605,-0.514) (0.108,-0.198) (0.0268,-0.563) (0.566,-0.717) (-0.33,-0.726) (-0.0452,-0.74) (0.904,0.0259) (0.597,0.214) (0.536,0.608) (0.258,-0.782) (0.832,0.678)
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inlineinherited |
startRow | the first row in the block |
startCol | the first column in the block |
blockRows | the number of rows in the block |
blockCols | the number of columns in the block |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.block(1, 1, 2, 2): -6 1 -3 0 Now the matrix m is: 7 9 -5 -3 -2 0 0 0 6 0 0 9 6 6 3 9
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inlineinherited |
This is the const version of block(Index,Index,Index,Index).
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inlineinherited |
The template parameters BlockRows and BlockCols are the number of rows and columns in the block.
startRow | the first row in the block |
startCol | the first column in the block |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.block<2,2>(1,1): -6 1 -3 0 Now the matrix m is: 7 9 -5 -3 -2 0 0 0 6 0 0 9 6 6 3 9
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inlineinherited |
This is the const version of block<>(Index, Index).
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inlineinherited |
BlockRows | number of rows in block as specified at compile-time |
BlockCols | number of columns in block as specified at compile-time |
startRow | the first row in the block |
startCol | the first column in the block |
blockRows | number of rows in block as specified at run-time |
blockCols | number of columns in block as specified at run-time |
This function is mainly useful for blocks where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, blockRows should equal BlockRows unless BlockRows is Dynamic, and the same for the number of columns.
Example:
Output:
Matrix4i m = Matrix4i::Random(); cout << "Here is the matrix m:" << endl << m << endl; cout << "Here is the block:" << endl << m.block<2, Dynamic>(1, 1, 2, 3) << endl; m.block<2, Dynamic>(1, 1, 2, 3).setZero(); cout << "Now the matrix m is:" << endl << m << endl;
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inlineinherited |
This is the const version of block<>(Index, Index, Index, Index).
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inlineinherited |
cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomLeftCorner(2, 2): 6 -3 6 6 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of bottomLeftCorner(Index, Index).
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inlineinherited |
The template parameters CRows and CCols are the number of rows and columns in the corner.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomLeftCorner<2,2>(): 6 -3 6 6 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of bottomLeftCorner<int, int>().
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inlineinherited |
CRows | number of rows in corner as specified at compile-time |
CCols | number of columns in corner as specified at compile-time |
cRows | number of rows in corner as specified at run-time |
cCols | number of columns in corner as specified at run-time |
This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomLeftCorner<2,Dynamic>(2,2): 6 -3 6 6 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of bottomLeftCorner<int, int>(Index, Index).
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cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomRightCorner(2, 2): 0 9 3 9 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 6 -3 0 0 6 6 0 0
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inlineinherited |
This is the const version of bottomRightCorner(Index, Index).
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inlineinherited |
The template parameters CRows and CCols are the number of rows and columns in the corner.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomRightCorner<2,2>(): 0 9 3 9 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 6 -3 0 0 6 6 0 0
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inlineinherited |
This is the const version of bottomRightCorner<int, int>().
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inlineinherited |
CRows | number of rows in corner as specified at compile-time |
CCols | number of columns in corner as specified at compile-time |
cRows | number of rows in corner as specified at run-time |
cCols | number of columns in corner as specified at run-time |
This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomRightCorner<2,Dynamic>(2,2): 0 9 3 9 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 6 -3 0 0 6 6 0 0
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This is the const version of bottomRightCorner<int, int>(Index, Index).
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n | the number of rows in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.bottomRows(2): 6 -3 0 9 6 6 3 9 Now the array a is: 7 9 -5 -3 -2 -6 1 0 0 0 0 0 0 0 0 0
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inlineinherited |
This is the const version of bottomRows(Index).
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inlineinherited |
N | the number of rows in the block as specified at compile-time |
n | the number of rows in the block as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.bottomRows<2>(): 6 -3 0 9 6 6 3 9 Now the array a is: 7 9 -5 -3 -2 -6 1 0 0 0 0 0 0 0 0 0
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inlineinherited |
This is the const version of bottomRows<int>().
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inlineinherited |
The template parameter NewScalar is the type we are casting the scalars to.
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inlineinherited |
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inlineinherited |
This is the const version of col().
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inlineinherited |
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inlineinherited |
*this
.
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inlineinherited |
*this
Example:
Output:
2 4 6 5 1 0
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inlineinherited |
*this
Example:
Output:
4 16 36 25 1 0
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inlineinherited |
Example:
Output:
Comparing m with identity matrix: 1 1 0 1 Number of coefficients that are equal: 3
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inlineinherited |
*this
and a scalar s
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inlineinherited |
Example:
Output:
0.5 2 1 0.333 4 1
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inlineinherited |
Example:
Output:
4 3 4
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inlineinherited |
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inlineinherited |
Example:
Output:
2 2 3
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inlineinherited |
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inlineinherited |
Example:
Output:
Comparing m with identity matrix: 0 0 1 0 Number of coefficients that are not equal: 1
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inlineinherited |
Example:
Output:
a: 7 6 -3 -2 9 6 6 -6 -5 b: 1 -3 9 0 0 3 3 9 5 c: 7 -18 -27 0 0 18 18 -54 -25
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inlineinherited |
Example:
Output:
0.5 1.5 1.33
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inlineinherited |
Example:
Output:
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inlineinherited |
Example:
Output:
1 1.41 2
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inlineinherited |
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inlineinherited |
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inlineinherited |
Notice that in the case of a plain matrix or vector (not an expression) this function just returns a const reference, in order to avoid a useless copy.
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This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
n | the number of coefficients in the segment |
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.head(2): 7 -2 Now the vector v is: 0 0 6 6
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This is the const version of head(Index).
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This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
N | the number of coefficients in the segment as specified at compile-time |
n | the number of coefficients in the segment as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.head(2): 7 -2 Now the vector v is: 0 0 6 6
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inlineinherited |
This is the const version of head<int>().
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*this
.
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inlineinherited |
*this
.
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inlineinherited |
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inherited |
*this
if *this
is col-major (resp. row-major).
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inherited |
*this
if *this
is col-major (resp. row-major). Read-only.
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inherited |
*this
if *this
is col-major (resp. row-major).
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inherited |
*this
if *this
is col-major (resp. row-major). Read-only.
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inlineinherited |
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inlineinherited |
n | the number of columns in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.leftCols(2): 7 9 -2 -6 6 -3 6 6 Now the array a is: 0 0 -5 -3 0 0 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of leftCols(Index).
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inlineinherited |
N | the number of columns in the block as specified at compile-time |
n | the number of columns in the block as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.leftCols<2>(): 7 9 -2 -6 6 -3 6 6 Now the array a is: 0 0 -5 -3 0 0 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of leftCols<int>().
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inlineinherited |
startCol | the index of the first column in the block |
numCols | the number of columns in the block |
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(1..3,:) = -6 0 9 -3 3 3 6 -3 5 -5 0 -8 1 9 2
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inlineinherited |
This is the const version of middleCols(Index,Index).
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inlineinherited |
N | the number of columns in the block as specified at compile-time |
startCol | the index of the first column in the block |
n | the number of columns in the block as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(:,1..3) = -6 0 9 -3 3 3 6 -3 5 -5 0 -8 1 9 2
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inlineinherited |
This is the const version of middleCols<int>().
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inlineinherited |
startRow | the index of the first row in the block |
n | the number of rows in the block |
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(2..3,:) = 6 6 -3 5 -8 6 -5 0 -8 6
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inlineinherited |
This is the const version of middleRows(Index,Index).
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inlineinherited |
N | the number of rows in the block as specified at compile-time |
startRow | the index of the first row in the block |
n | the number of rows in the block as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(1..3,:) = -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6
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inlineinherited |
This is the const version of middleRows<int>().
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inlineinherited |
*this
scaled by the scalar factor scalar
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inlineinherited |
Overloaded for efficient real matrix times complex scalar value
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inherited |
ref
is a meaningful non zero reference value.
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inherited |
*this
and other
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inherited |
*this
and other
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inlineinherited |
*this
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inlineinherited |
*this
divided by the scalar value scalar
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inlineinherited |
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inlineinherited |
*this
with values smaller than reference * epsilon are removed.This method is typically used in conjunction with the product of two sparse matrices to automatically prune the smallest values as follows:
where ref
is a meaningful non zero reference value.
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inlineinherited |
*this
.
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inlineinherited |
*this
.
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inlineinherited |
n | the number of columns in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.rightCols(2): -5 -3 1 0 0 9 3 9 Now the array a is: 7 9 0 0 -2 -6 0 0 6 -3 0 0 6 6 0 0
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inlineinherited |
This is the const version of rightCols(Index).
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inlineinherited |
N | the number of columns in the block as specified at compile-time |
n | the number of columns in the block as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.rightCols<2>(): -5 -3 1 0 0 9 3 9 Now the array a is: 7 9 0 0 -2 -6 0 0 6 -3 0 0 6 6 0 0
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inlineinherited |
This is the const version of rightCols<int>().
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inlineinherited |
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inlineinherited |
This is the const version of row().
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inlineinherited |
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inlineinherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
start | the first coefficient in the segment |
n | the number of coefficients in the segment |
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.segment(1, 2): -2 6 Now the vector v is: 7 0 0 6
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inlineinherited |
This is the const version of segment(Index,Index).
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inlineinherited |
*this
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
N | the number of coefficients in the segment as specified at compile-time |
start | the index of the first element in the segment |
n | the number of coefficients in the segment as specified at compile-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.segment<2>(1): -2 6 Now the vector v is: 7 -2 0 0
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inlineinherited |
This is the const version of segment<int>(Index).
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inlineinherited |
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inlineinherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
n | the number of coefficients in the segment |
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.tail(2): 6 6 Now the vector v is: 7 -2 0 0
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inlineinherited |
This is the const version of tail(Index).
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inlineinherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
N | the number of coefficients in the segment as specified at compile-time |
n | the number of coefficients in the segment as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.tail(2): 6 6 Now the vector v is: 7 -2 0 0
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inlineinherited |
This is the const version of tail<int>.
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inlineinherited |
cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topLeftCorner(2, 2): 7 9 -2 -6 Now the matrix m is: 0 0 -5 -3 0 0 1 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topLeftCorner(Index, Index).
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inlineinherited |
The template parameters CRows and CCols are the number of rows and columns in the corner.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topLeftCorner<2,2>(): 7 9 -2 -6 Now the matrix m is: 0 0 -5 -3 0 0 1 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topLeftCorner<int, int>().
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inlineinherited |
CRows | number of rows in corner as specified at compile-time |
CCols | number of columns in corner as specified at compile-time |
cRows | number of rows in corner as specified at run-time |
cCols | number of columns in corner as specified at run-time |
This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topLeftCorner<2,Dynamic>(2,2): 7 9 -2 -6 Now the matrix m is: 0 0 -5 -3 0 0 1 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topLeftCorner<int, int>(Index, Index).
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inlineinherited |
cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topRightCorner(2, 2): -5 -3 1 0 Now the matrix m is: 7 9 0 0 -2 -6 0 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topRightCorner(Index, Index).
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inlineinherited |
CRows | the number of rows in the corner |
CCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topRightCorner<2,2>(): -5 -3 1 0 Now the matrix m is: 7 9 0 0 -2 -6 0 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topRightCorner<int, int>().
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inlineinherited |
CRows | number of rows in corner as specified at compile-time |
CCols | number of columns in corner as specified at compile-time |
cRows | number of rows in corner as specified at run-time |
cCols | number of columns in corner as specified at run-time |
This function is mainly useful for corners where the number of rows is specified at compile-time and the number of columns is specified at run-time, or vice versa. The compile-time and run-time information should not contradict. In other words, cRows should equal CRows unless CRows is Dynamic, and the same for the number of columns.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topRightCorner<2,Dynamic>(2,2): -5 -3 1 0 Now the matrix m is: 7 9 0 0 -2 -6 0 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topRightCorner<int, int>(Index, Index).
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inlineinherited |
n | the number of rows in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.topRows(2): 7 9 -5 -3 -2 -6 1 0 Now the array a is: 0 0 0 0 0 0 0 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topRows(Index).
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inlineinherited |
N | the number of rows in the block as specified at compile-time |
n | the number of rows in the block as specified at run-time |
The compile-time and run-time information should not contradict. In other words, n should equal N unless N is Dynamic.
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.topRows<2>(): 7 9 -5 -3 -2 -6 1 0 Now the array a is: 0 0 0 0 0 0 0 0 6 -3 0 9 6 6 3 9
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inlineinherited |
This is the const version of topRows<int>().
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inlineinherited |
*this
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inlineinherited |
Apply a unary operator coefficient-wise.
[in] | func | Functor implementing the unary operator |
CustomUnaryOp | Type of func |
The function ptr_fun()
from the C++ standard library can be used to make functors out of normal functions.
Example:
Output:
0.68 0.823 -0.444 -0.27 -0.211 -0.605 0.108 0.0268 0.566 -0.33 -0.0452 0.904 0.597 0.536 0.258 0.832 becomes: 0.68 0.823 0 0 0 0 0.108 0.0268 0.566 0 0 0.904 0.597 0.536 0.258 0.832
Genuine functors allow for more possibilities, for instance it may contain a state.
Example:
Output:
0.68 0.823 -0.444 -0.27 -0.211 -0.605 0.108 0.0268 0.566 -0.33 -0.0452 0.904 0.597 0.536 0.258 0.832 becomes: 0.5 0.5 -0.444 -0.27 -0.211 -0.5 0.108 0.0268 0.5 -0.33 -0.0452 0.5 0.5 0.5 0.258 0.5
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inlineinherited |
The template parameter CustomUnaryOp is the type of the functor of the custom unary operator.
Example:
Output:
0.68 0.823 -0.444 -0.27 -0.211 -0.605 0.108 0.0268 0.566 -0.33 -0.0452 0.904 0.597 0.536 0.258 0.832 becomes: 0.5 0.5 -0.444 -0.27 -0.211 -0.5 0.108 0.0268 0.5 -0.33 -0.0452 0.5 0.5 0.5 0.258 0.5