Variable-size 2d matrix of Composite Numerical Type (ELT) elements. More...

#include <BigMatrix.h>

Inheritance diagram for SimTK::MatrixBase< ELT >:

Classes
struct	EltResult
Public Types
enum	{ NScalarsPerElement = CNT<E>::NActualScalars, CppNScalarsPerElement = sizeof(E) / sizeof(Scalar) }
typedef ELT	E
typedef CNT< E >::TNeg	ENeg
typedef CNT< E >::TWithoutNegator	EWithoutNegator
typedef CNT< E >::TReal	EReal
typedef CNT< E >::TImag	EImag
typedef CNT< E >::TComplex	EComplex
typedef CNT< E >::THerm	EHerm
typedef CNT< E >::TPosTrans	EPosTrans
typedef CNT< E >::TAbs	EAbs
typedef CNT< E >::TStandard	EStandard
typedef CNT< E >::TInvert	EInvert
typedef CNT< E >::TNormalize	ENormalize
typedef CNT< E >::TSqHermT	ESqHermT
typedef CNT< E >::TSqTHerm	ESqTHerm
typedef CNT< E >::Scalar	EScalar
typedef CNT< E >::Number	ENumber
typedef CNT< E >::StdNumber	EStdNumber
typedef CNT< E >::Precision	EPrecision
typedef CNT< E >::ScalarNormSq	EScalarNormSq
typedef EScalar	Scalar
typedef ENumber	Number
typedef EStdNumber	StdNumber
typedef EPrecision	Precision
typedef EScalarNormSq	ScalarNormSq
typedef MatrixBase< E >	T
typedef MatrixBase< ENeg >	TNeg
typedef MatrixBase < EWithoutNegator >	TWithoutNegator
typedef MatrixBase< EReal >	TReal
typedef MatrixBase< EImag >	TImag
typedef MatrixBase< EComplex >	TComplex
typedef MatrixBase< EHerm >	THerm
typedef MatrixBase< E >	TPosTrans
typedef MatrixBase< EAbs >	TAbs
typedef MatrixBase< EStandard >	TStandard
typedef MatrixBase< EInvert >	TInvert
typedef MatrixBase< ENormalize >	TNormalize
typedef MatrixBase< ESqHermT >	TSqHermT
typedef MatrixBase< ESqTHerm >	TSqTHerm
Public Member Functions
const MatrixCommitment &	getCharacterCommitment () const
const MatrixCharacter &	getMatrixCharacter () const
void	commitTo (const MatrixCommitment &mc)
	Change the handle commitment for this matrix handle; only allowed if the handle is currently clear.
int	nrow () const
	Return the number of rows m in the logical shape of this matrix.
int	ncol () const
	Return the number of columns n in the logical shape of this matrix.
ptrdiff_t	nelt () const
	Return the number of elements in the logical shape of this matrix.
bool	isResizeable () const
	Return true if either dimension of this Matrix is resizable.
	MatrixBase ()
	The default constructor builds a 0x0 matrix managed by a helper that understands how many scalars there are in one of our elements but is otherwise uncommitted.
	MatrixBase (int m, int n)
	This constructor allocates the default matrix a completely uncommitted matrix commitment, given particular initial dimensions.
	MatrixBase (const MatrixCommitment &commitment)
	This constructor takes a handle commitment and allocates the default matrix for that kind of commitment.
	MatrixBase (const MatrixCommitment &commitment, int m, int n)
	This constructor takes a handle commitment and allocates the default matrix for that kind of commitment given particular initial minimum dimensions, which cannot be larger than those permitted by the commitment.
	MatrixBase (const MatrixBase &b)
	Copy constructor is a deep copy (not appropriate for views!).
	MatrixBase (const TNeg &b)
	Implicit conversion from matrix with negated elements (otherwise this is just like the copy constructor.
MatrixBase &	copyAssign (const MatrixBase &b)
	Copy assignment is a deep copy but behavior depends on type of lhs: if view, rhs must match.
MatrixBase &	operator= (const MatrixBase &b)
MatrixBase &	viewAssign (const MatrixBase &src)
	View assignment is a shallow copy, meaning that we disconnect the MatrixBase from whatever it used to refer to (destructing as necessary), then make it a new view for the data descriptor referenced by the source.
	MatrixBase (const MatrixCommitment &commitment, int m, int n, const ELT &initialValue)
	Initializing constructor with all of the initially-allocated elements initialized to the same value.
	MatrixBase (const MatrixCommitment &commitment, int m, int n, const ELT *cppInitialValuesByRow)
	Initializing constructor with the initially-allocated elements initialized from a C++ array of elements, which is provided in row major order.
	MatrixBase (const MatrixCommitment &commitment, MatrixHelper< Scalar > &source, const typename MatrixHelper< Scalar >::ShallowCopy &shallow)
	MatrixBase (const MatrixCommitment &commitment, const MatrixHelper< Scalar > &source, const typename MatrixHelper< Scalar >::ShallowCopy &shallow)
	MatrixBase (const MatrixCommitment &commitment, const MatrixHelper< Scalar > &source, const typename MatrixHelper< Scalar >::DeepCopy &deep)
void	clear ()
	This restores the MatrixBase to the state it would be in had it been constructed specifying only its handle commitment.
MatrixBase &	operator*= (const StdNumber &t)
MatrixBase &	operator/= (const StdNumber &t)
MatrixBase &	operator+= (const MatrixBase &r)
MatrixBase &	operator-= (const MatrixBase &r)
template<class EE >
	MatrixBase (const MatrixBase< EE > &b)
template<class EE >
MatrixBase &	operator= (const MatrixBase< EE > &b)
template<class EE >
MatrixBase &	operator+= (const MatrixBase< EE > &b)
template<class EE >
MatrixBase &	operator-= (const MatrixBase< EE > &b)
MatrixBase &	operator= (const ELT &t)
	Matrix assignment to an element sets only the diagonal elements to the indicated value; everything else is set to zero.
template<class S >
MatrixBase &	scalarAssign (const S &s)
	Set M's diagonal elements to a "scalar" value S, and all off-diagonal elements to zero.
template<class S >
MatrixBase &	scalarAddInPlace (const S &s)
	Add a scalar to M's diagonal.
template<class S >
MatrixBase &	scalarSubtractInPlace (const S &s)
	Subtract a scalar from M's diagonal.
template<class S >
MatrixBase &	scalarSubtractFromLeftInPlace (const S &s)
	Set M(i,i) = S - M(i,i), M(i,j) = -M(i,j) for i!=j.
template<class S >
MatrixBase &	scalarMultiplyInPlace (const S &)
	Set M(i,j) = M(i,j)*S for some "scalar" S.
template<class S >
MatrixBase &	scalarMultiplyFromLeftInPlace (const S &)
	Set M(i,j) = S * M(i,j) for some "scalar" S.
template<class S >
MatrixBase &	scalarDivideInPlace (const S &)
	Set M(i,j) = M(i,j)/S for some "scalar" S.
template<class S >
MatrixBase &	scalarDivideFromLeftInPlace (const S &)
	Set M(i,j) = S/M(i,j) for some "scalar" S.
template<class EE >
MatrixBase &	rowScaleInPlace (const VectorBase< EE > &)
	M = diag(r) * M; r must have nrow() elements.
template<class EE >
void	rowScale (const VectorBase< EE > &r, typename EltResult< EE >::Mul &out) const
	Return type is a new matrix which will have the same dimensions as 'this' but will have element types appropriate for the elementwise multiply being performed.
template<class EE >
EltResult< EE >::Mul	rowScale (const VectorBase< EE > &r) const
template<class EE >
MatrixBase &	colScaleInPlace (const VectorBase< EE > &)
	M = M * diag(c); c must have ncol() elements.
template<class EE >
void	colScale (const VectorBase< EE > &c, typename EltResult< EE >::Mul &out) const
template<class EE >
EltResult< EE >::Mul	colScale (const VectorBase< EE > &c) const
template<class ER , class EC >
MatrixBase &	rowAndColScaleInPlace (const VectorBase< ER > &r, const VectorBase< EC > &c)
	M = diag(r) * M * diag(c); r must have nrow() elements; must have ncol() elements.
template<class ER , class EC >
void	rowAndColScale (const VectorBase< ER > &r, const VectorBase< EC > &c, typename EltResult< typename VectorBase< ER >::template EltResult< EC >::Mul >::Mul &out) const
template<class ER , class EC >
EltResult< typename VectorBase < ER >::template EltResult< EC > ::Mul >::Mul	rowAndColScale (const VectorBase< ER > &r, const VectorBase< EC > &c) const
template<class S >
MatrixBase &	elementwiseAssign (const S &s)
	Set M(i,j)=s for every element of M and some value s.
MatrixBase &	elementwiseInvertInPlace ()
	Set M(i,j) = M(i,j)^-1.
void	elementwiseInvert (MatrixBase< typename CNT< E >::TInvert > &out) const
MatrixBase< typename CNT< E > ::TInvert >	elementwiseInvert () const
template<class S >
MatrixBase &	elementwiseAddScalarInPlace (const S &s)
	Set M(i,j)+=s for every element of M and some value s.
template<class S >
void	elementwiseAddScalar (const S &s, typename EltResult< S >::Add &) const
template<class S >
EltResult< S >::Add	elementwiseAddScalar (const S &s) const
template<class S >
MatrixBase &	elementwiseSubtractScalarInPlace (const S &s)
	Set M(i,j)-=s for every element of M and some value s.
template<class S >
void	elementwiseSubtractScalar (const S &s, typename EltResult< S >::Sub &) const
template<class S >
EltResult< S >::Sub	elementwiseSubtractScalar (const S &s) const
template<class S >
MatrixBase &	elementwiseSubtractFromScalarInPlace (const S &s)
	Set M(i,j) = s - M(i,j) for every element of M and some value s.
template<class S >
void	elementwiseSubtractFromScalar (const S &, typename MatrixBase< S >::template EltResult< E >::Sub &) const
template<class S >
MatrixBase< S >::template EltResult< E >::Sub	elementwiseSubtractFromScalar (const S &s) const
template<class EE >
MatrixBase &	elementwiseMultiplyInPlace (const MatrixBase< EE > &)
	M(i,j) *= R(i,j); R must have same dimensions as this.
template<class EE >
void	elementwiseMultiply (const MatrixBase< EE > &, typename EltResult< EE >::Mul &) const
template<class EE >
EltResult< EE >::Mul	elementwiseMultiply (const MatrixBase< EE > &m) const
template<class EE >
MatrixBase &	elementwiseMultiplyFromLeftInPlace (const MatrixBase< EE > &)
	M(i,j) = R(i,j) * M(i,j); R must have same dimensions as this.
template<class EE >
void	elementwiseMultiplyFromLeft (const MatrixBase< EE > &, typename MatrixBase< EE >::template EltResult< E >::Mul &) const
template<class EE >
MatrixBase< EE >::template EltResult< E >::Mul	elementwiseMultiplyFromLeft (const MatrixBase< EE > &m) const
template<class EE >
MatrixBase &	elementwiseDivideInPlace (const MatrixBase< EE > &)
	M(i,j) /= R(i,j); R must have same dimensions as this.
template<class EE >
void	elementwiseDivide (const MatrixBase< EE > &, typename EltResult< EE >::Dvd &) const
template<class EE >
EltResult< EE >::Dvd	elementwiseDivide (const MatrixBase< EE > &m) const
template<class EE >
MatrixBase &	elementwiseDivideFromLeftInPlace (const MatrixBase< EE > &)
	M(i,j) = R(i,j) / M(i,j); R must have same dimensions as this.
template<class EE >
void	elementwiseDivideFromLeft (const MatrixBase< EE > &, typename MatrixBase< EE >::template EltResult< E >::Dvd &) const
template<class EE >
MatrixBase< EE >::template EltResult< EE >::Dvd	elementwiseDivideFromLeft (const MatrixBase< EE > &m) const
MatrixBase &	setTo (const ELT &t)
	Fill every element in current allocation with given element (or NaN or 0).
MatrixBase &	setToNaN ()
MatrixBase &	setToZero ()
RowVectorView_< ELT >	row (int i) const
RowVectorView_< ELT >	updRow (int i)
VectorView_< ELT >	col (int j) const
VectorView_< ELT >	updCol (int j)
RowVectorView_< ELT >	operator[] (int i) const
RowVectorView_< ELT >	operator[] (int i)
VectorView_< ELT >	operator() (int j) const
VectorView_< ELT >	operator() (int j)
MatrixView_< ELT >	block (int i, int j, int m, int n) const
MatrixView_< ELT >	updBlock (int i, int j, int m, int n)
MatrixView_< ELT >	operator() (int i, int j, int m, int n) const
MatrixView_< ELT >	operator() (int i, int j, int m, int n)
MatrixView_< EHerm >	transpose () const
MatrixView_< EHerm >	updTranspose ()
MatrixView_< EHerm >	operator~ () const
MatrixView_< EHerm >	operator~ ()
VectorView_< ELT >	diag () const
VectorView_< ELT >	updDiag ()
TInvert	invert () const
void	invertInPlace ()
void	dump (const char *msg=0) const
	Matlab-compatible debug output.
template<class ELT_A , class ELT_B >
MatrixBase &	matmul (const StdNumber &beta, const StdNumber &alpha, const MatrixBase< ELT_A > &A, const MatrixBase< ELT_B > &B)
const ELT &	getElt (int i, int j) const
	Element selection for stored elements.
ELT &	updElt (int i, int j)
const ELT &	operator() (int i, int j) const
ELT &	operator() (int i, int j)
void	getAnyElt (int i, int j, ELT &value) const
	This returns a copy of the element value for any position in the logical matrix, regardless of whether it is stored in memory.
ELT	getAnyElt (int i, int j) const
ScalarNormSq	scalarNormSqr () const
	Scalar norm square is sum( squares of all scalars ).
void	abs (TAbs &mabs) const
	abs() is elementwise absolute value; that is, the return value has the same dimension as this Matrix but with each element replaced by whatever it thinks its absolute value is.
TAbs	abs () const
	abs() with the result as a function return.
TStandard	standardize () const
	Return a Matrix of the same shape and contents as this one but with the element type converted to one based on the standard C++ scalar types: float, double, complex<float>, complex<double>.
ScalarNormSq	normSqr () const
	This is the scalar Frobenius norm, and its square.
CNT< ScalarNormSq >::TSqrt	norm () const
CNT< ScalarNormSq >::TSqrt	normRMS () const
	We only allow RMS norm if the elements are scalars.
RowVectorBase< ELT >	sum () const
	Form the column sums of this matrix, returned as a RowVector.
const MatrixBase &	operator+ () const
const TNeg &	negate () const
TNeg &	updNegate ()
const TNeg &	operator- () const
TNeg &	operator- ()
MatrixBase &	negateInPlace ()
MatrixBase &	resize (int m, int n)
	Change the size of this matrix.
MatrixBase &	resizeKeep (int m, int n)
	Change the size of this matrix, retaining as much of the old data as will fit.
void	lockShape ()
void	unlockShape ()
const MatrixView_< ELT > &	getAsMatrixView () const
MatrixView_< ELT > &	updAsMatrixView ()
const Matrix_< ELT > &	getAsMatrix () const
Matrix_< ELT > &	updAsMatrix ()
const VectorView_< ELT > &	getAsVectorView () const
VectorView_< ELT > &	updAsVectorView ()
const Vector_< ELT > &	getAsVector () const
Vector_< ELT > &	updAsVector ()
const VectorBase< ELT > &	getAsVectorBase () const
VectorBase< ELT > &	updAsVectorBase ()
const RowVectorView_< ELT > &	getAsRowVectorView () const
RowVectorView_< ELT > &	updAsRowVectorView ()
const RowVector_< ELT > &	getAsRowVector () const
RowVector_< ELT > &	updAsRowVector ()
const RowVectorBase< ELT > &	getAsRowVectorBase () const
RowVectorBase< ELT > &	updAsRowVectorBase ()
int	getNScalarsPerElement () const
	This is the number of consecutive scalars used to represent one element of type ELT.
int	getPackedSizeofElement () const
	This is like sizeof(ELT), but returning the number of bytes we use to store the element which may be fewer than what C++ would use.
bool	hasContiguousData () const
ptrdiff_t	getContiguousScalarDataLength () const
const Scalar *	getContiguousScalarData () const
Scalar *	updContiguousScalarData ()
void	replaceContiguousScalarData (Scalar *newData, ptrdiff_t length, bool takeOwnership)
void	replaceContiguousScalarData (const Scalar *newData, ptrdiff_t length)
void	swapOwnedContiguousScalarData (Scalar newData, ptrdiff_t length, Scalar &oldData)
	MatrixBase (MatrixHelperRep< Scalar > *hrep)
	Helper rep-stealing constructor.
template<class EE >
void	rowScale (const VectorBase< EE > &v, typename MatrixBase< ELT >::template EltResult< EE >::Mul &out) const
template<class EE >
void	colScale (const VectorBase< EE > &v, typename MatrixBase< ELT >::template EltResult< EE >::Mul &out) const
template<class S >
void	elementwiseAddScalar (const S &s, typename MatrixBase< ELT >::template EltResult< S >::Add &out) const
template<class S >
void	elementwiseSubtractScalar (const S &s, typename MatrixBase< ELT >::template EltResult< S >::Sub &out) const
template<class EE >
void	elementwiseMultiply (const MatrixBase< EE > &r, typename MatrixBase< ELT >::template EltResult< EE >::Mul &out) const
template<class EE >
void	elementwiseDivide (const MatrixBase< EE > &r, typename MatrixBase< ELT >::template EltResult< EE >::Dvd &out) const
Matrix view of pre-exising data
Non-resizeable view of someone else's already-allocated memory of a size and storage type indicated by the supplied MatrixCharacter. The spacing argument has different interpretations depending on the storage format. Typically it is the leading dimension for Lapack-style full storage or stride for a vector. Spacing is in units like "number of scalars between elements" or "number of scalars between columns" so it can be used to deal with C++ packing vs. Simmatrix packing if necessary.
	MatrixBase (const MatrixCommitment &commitment, const MatrixCharacter &character, int spacing, const Scalar *data)
	Construct a read-only view of pre-existing data.
	MatrixBase (const MatrixCommitment &commitment, const MatrixCharacter &character, int spacing, Scalar *data)
	Construct a writable view of pre-existing data.
Protected Member Functions
const MatrixHelper< Scalar > &	getHelper () const
MatrixHelper< Scalar > &	updHelper ()
Friends
class	MatrixBase

Detailed Description

template<class ELT>
class SimTK::MatrixBase< ELT >

Variable-size 2d matrix of Composite Numerical Type (ELT) elements.

This is a container of such elements, it is NOT a Composite Numerical Type itself. MatrixBase<ELT> uses MatrixHelper<S> for implementation, where S is ELT::Scalar, that is, the underlying float, double, long double, complex<float>, negator<conjugate<double>>, etc. from which ELT is constructed. This is a finite set of which all members are explicitly instantiated in the implementation code, so clients don't have to know how anything is implemented.

MatrixBase is the only class in the Matrix/Vector family which has any data members (it has exactly one MatrixHelper, which itself consists only of a single pointer to an opaque class). Thus all other objects in this family (that is, derived from MatrixBase) are exactly the same size in memory and may be "reinterpreted" as appropriate. For example, a Vector may be reinterpreted as a Matrix or vice versa, provided runtime requirements are met (e.g., exactly 1 column).

Unlike the small matrix classes, very little is encoded in the type. Only the element type, and matrix vs. vector vs. row are in the type; everything else like shape, storage layout, and writability are handled at run time.

Member Typedef Documentation

template<class ELT>

typedef ELT SimTK::MatrixBase< ELT >::E

template<class ELT>

typedef CNT<E>::TNeg SimTK::MatrixBase< ELT >::ENeg

template<class ELT>

typedef CNT<E>::TWithoutNegator SimTK::MatrixBase< ELT >::EWithoutNegator

template<class ELT>

typedef CNT<E>::TReal SimTK::MatrixBase< ELT >::EReal

template<class ELT>

typedef CNT<E>::TImag SimTK::MatrixBase< ELT >::EImag

template<class ELT>

typedef CNT<E>::TComplex SimTK::MatrixBase< ELT >::EComplex

template<class ELT>

typedef CNT<E>::THerm SimTK::MatrixBase< ELT >::EHerm

template<class ELT>

typedef CNT<E>::TPosTrans SimTK::MatrixBase< ELT >::EPosTrans

template<class ELT>

typedef CNT<E>::TAbs SimTK::MatrixBase< ELT >::EAbs

template<class ELT>

typedef CNT<E>::TStandard SimTK::MatrixBase< ELT >::EStandard

template<class ELT>

typedef CNT<E>::TInvert SimTK::MatrixBase< ELT >::EInvert

template<class ELT>

typedef CNT<E>::TNormalize SimTK::MatrixBase< ELT >::ENormalize

template<class ELT>

typedef CNT<E>::TSqHermT SimTK::MatrixBase< ELT >::ESqHermT

template<class ELT>

typedef CNT<E>::TSqTHerm SimTK::MatrixBase< ELT >::ESqTHerm

template<class ELT>

typedef CNT<E>::Scalar SimTK::MatrixBase< ELT >::EScalar

template<class ELT>

typedef CNT<E>::Number SimTK::MatrixBase< ELT >::ENumber

template<class ELT>

typedef CNT<E>::StdNumber SimTK::MatrixBase< ELT >::EStdNumber

template<class ELT>

typedef CNT<E>::Precision SimTK::MatrixBase< ELT >::EPrecision

template<class ELT>

typedef CNT<E>::ScalarNormSq SimTK::MatrixBase< ELT >::EScalarNormSq

template<class ELT>

typedef EScalar SimTK::MatrixBase< ELT >::Scalar

template<class ELT>

typedef ENumber SimTK::MatrixBase< ELT >::Number

template<class ELT>

typedef EStdNumber SimTK::MatrixBase< ELT >::StdNumber

template<class ELT>

typedef EPrecision SimTK::MatrixBase< ELT >::Precision

template<class ELT>

typedef EScalarNormSq SimTK::MatrixBase< ELT >::ScalarNormSq

template<class ELT>

typedef MatrixBase<E> SimTK::MatrixBase< ELT >::T

template<class ELT>

typedef MatrixBase<ENeg> SimTK::MatrixBase< ELT >::TNeg

template<class ELT>

typedef MatrixBase<EWithoutNegator> SimTK::MatrixBase< ELT >::TWithoutNegator

template<class ELT>

typedef MatrixBase<EReal> SimTK::MatrixBase< ELT >::TReal

template<class ELT>

typedef MatrixBase<EImag> SimTK::MatrixBase< ELT >::TImag

template<class ELT>

typedef MatrixBase<EComplex> SimTK::MatrixBase< ELT >::TComplex

template<class ELT>

typedef MatrixBase<EHerm> SimTK::MatrixBase< ELT >::THerm

template<class ELT>

typedef MatrixBase<E> SimTK::MatrixBase< ELT >::TPosTrans

template<class ELT>

typedef MatrixBase<EAbs> SimTK::MatrixBase< ELT >::TAbs

template<class ELT>

typedef MatrixBase<EStandard> SimTK::MatrixBase< ELT >::TStandard

template<class ELT>

typedef MatrixBase<EInvert> SimTK::MatrixBase< ELT >::TInvert

template<class ELT>

typedef MatrixBase<ENormalize> SimTK::MatrixBase< ELT >::TNormalize

template<class ELT>

typedef MatrixBase<ESqHermT> SimTK::MatrixBase< ELT >::TSqHermT

template<class ELT>

typedef MatrixBase<ESqTHerm> SimTK::MatrixBase< ELT >::TSqTHerm

Member Enumeration Documentation

template<class ELT>

anonymous enum

Enumerator:

NScalarsPerElement
CppNScalarsPerElement

Constructor & Destructor Documentation

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase ( ) [inline]

The default constructor builds a 0x0 matrix managed by a helper that understands how many scalars there are in one of our elements but is otherwise uncommitted.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	int	m,
		int	n
	)		`[inline]`

This constructor allocates the default matrix a completely uncommitted matrix commitment, given particular initial dimensions.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase ( const MatrixCommitment & commitment ) [inline, explicit]

This constructor takes a handle commitment and allocates the default matrix for that kind of commitment.

If a dimension is set to a particular (unchangeable) value in the commitment then the initial allocation will use that value. Unlocked dimensions are given the smallest value consistent with other committed attributes, typically 0.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		int	m,
		int	n
	)		`[inline]`

This constructor takes a handle commitment and allocates the default matrix for that kind of commitment given particular initial minimum dimensions, which cannot be larger than those permitted by the commitment.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase ( const MatrixBase< ELT > & b ) [inline]

Copy constructor is a deep copy (not appropriate for views!).

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase ( const TNeg & b ) [inline]

Implicit conversion from matrix with negated elements (otherwise this is just like the copy constructor.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		int	m,
		int	n,
		const ELT &	initialValue
	)		`[inline]`

Initializing constructor with all of the initially-allocated elements initialized to the same value.

The given dimensions are treated as minimum dimensions in case the commitment requires more. So it is always permissible to set them both to 0 in which case you'll get the smallest matrix that satisfies the commitment, with each of its elements (if any) set to the given initial value.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		int	m,
		int	n,
		const ELT *	cppInitialValuesByRow
	)		`[inline]`

Initializing constructor with the initially-allocated elements initialized from a C++ array of elements, which is provided in row major order.

The given dimensions are treated as minimum dimensions in case the commitment requires more. The array is presumed to be long enough to supply a value for each element. Note that C++ packing for elements may be different than Simmatrix packing of the same elements (Simmatrix packs them more tightly in some cases). So you should not use this constructor to copy elements from one Simmatrix matrix to another; this is exclusively for initializing a Simmatrix from a C++ array.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		const MatrixCharacter &	character,
		int	spacing,
		const Scalar *	data
	)		`[inline]`

Construct a read-only view of pre-existing data.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		const MatrixCharacter &	character,
		int	spacing,
		Scalar *	data
	)		`[inline]`

Construct a writable view of pre-existing data.

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		MatrixHelper< Scalar > &	source,
		const typename MatrixHelper< Scalar >::ShallowCopy &	shallow
	)		`[inline]`

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		const MatrixHelper< Scalar > &	source,
		const typename MatrixHelper< Scalar >::ShallowCopy &	shallow
	)		`[inline]`

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase	(	const MatrixCommitment &	commitment,
		const MatrixHelper< Scalar > &	source,
		const typename MatrixHelper< Scalar >::DeepCopy &	deep
	)		`[inline]`

template<class ELT>

template<class EE >

SimTK::MatrixBase< ELT >::MatrixBase ( const MatrixBase< EE > & b ) [inline]

template<class ELT>

SimTK::MatrixBase< ELT >::MatrixBase ( MatrixHelperRep< Scalar > * hrep ) [inline, explicit]

Helper rep-stealing constructor.

We take over ownership of this rep here. Note that this defines the handle commitment for this handle. This is intended for internal use only -- don't call this constructor unless you really know what you're doing.

Member Function Documentation

template<class ELT>

const MatrixCommitment& SimTK::MatrixBase< ELT >::getCharacterCommitment ( ) const [inline]

template<class ELT>

const MatrixCharacter& SimTK::MatrixBase< ELT >::getMatrixCharacter ( ) const [inline]

template<class ELT>

void SimTK::MatrixBase< ELT >::commitTo ( const MatrixCommitment & mc ) [inline]

Change the handle commitment for this matrix handle; only allowed if the handle is currently clear.

template<class ELT>

int SimTK::MatrixBase< ELT >::nrow ( ) const [inline]

Return the number of rows m in the logical shape of this matrix.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

int SimTK::MatrixBase< ELT >::ncol ( ) const [inline]

Return the number of columns n in the logical shape of this matrix.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

ptrdiff_t SimTK::MatrixBase< ELT >::nelt ( ) const [inline]

Return the number of elements in the logical shape of this matrix.

This has nothing to do with how many elements are actually stored; it is simply the product of the logical number of rows and columns, that is, nrow()*ncol(). Note that although each dimension is limited to a 32 bit size, the product of those dimensions may be > 32 bits on a 64 bit machine so the return type may be larger than that of nrow() and ncol().

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

bool SimTK::MatrixBase< ELT >::isResizeable ( ) const [inline]

Return true if either dimension of this Matrix is resizable.

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::copyAssign ( const MatrixBase< ELT > & b ) [inline]

Copy assignment is a deep copy but behavior depends on type of lhs: if view, rhs must match.

If owner, we reallocate and copy rhs.

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::operator= ( const MatrixBase< ELT > & b ) [inline]

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::viewAssign ( const MatrixBase< ELT > & src ) [inline]

View assignment is a shallow copy, meaning that we disconnect the MatrixBase from whatever it used to refer to (destructing as necessary), then make it a new view for the data descriptor referenced by the source.

CAUTION: we always take the source as const, but that is ignored in determining whether the resulting view is writable. Instead, that is inherited from the writability status of the source. We have to do this in order to allow temporary view objects to be writable -- the compiler creates temporaries like m(i,j,m,n) as const.

template<class ELT>

void SimTK::MatrixBase< ELT >::clear ( ) [inline]

This restores the MatrixBase to the state it would be in had it been constructed specifying only its handle commitment.

The size will have been reduced to the smallest size consistent with the commitment.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::operator*= ( const StdNumber & t ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::MatrixView_< ELT >, SimTK::DeadMatrixView_< ELT >, SimTK::Matrix_< ELT >, SimTK::VectorView_< ELT >, SimTK::Vector_< ELT >, SimTK::RowVectorView_< ELT >, SimTK::RowVector_< ELT >, SimTK::VectorBase< T >, SimTK::VectorBase< Real >, SimTK::Vector_< T >, and SimTK::Vector_< Real >.

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::operator/= ( const StdNumber & t ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::MatrixView_< ELT >, SimTK::DeadMatrixView_< ELT >, SimTK::Matrix_< ELT >, SimTK::VectorView_< ELT >, SimTK::Vector_< ELT >, SimTK::RowVectorView_< ELT >, SimTK::RowVector_< ELT >, SimTK::VectorBase< T >, SimTK::VectorBase< Real >, SimTK::Vector_< T >, and SimTK::Vector_< Real >.

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::operator+= ( const MatrixBase< ELT > & r ) [inline]

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::operator-= ( const MatrixBase< ELT > & r ) [inline]

template<class ELT>

template<class EE >

MatrixBase& SimTK::MatrixBase< ELT >::operator= ( const MatrixBase< EE > & b ) [inline]

Reimplemented in SimTK::MatrixView_< ELT >, SimTK::DeadMatrixView_< ELT >, and SimTK::Matrix_< ELT >.

template<class ELT>

template<class EE >

MatrixBase& SimTK::MatrixBase< ELT >::operator+= ( const MatrixBase< EE > & b ) [inline]

Reimplemented in SimTK::MatrixView_< ELT >, SimTK::DeadMatrixView_< ELT >, and SimTK::Matrix_< ELT >.

template<class ELT>

template<class EE >

MatrixBase& SimTK::MatrixBase< ELT >::operator-= ( const MatrixBase< EE > & b ) [inline]

Reimplemented in SimTK::MatrixView_< ELT >, SimTK::DeadMatrixView_< ELT >, and SimTK::Matrix_< ELT >.

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::operator= ( const ELT & t ) [inline]

Matrix assignment to an element sets only the *diagonal* elements to the indicated value; everything else is set to zero.

This is particularly useful for setting a Matrix to zero or to the identity; for other values it creates a Matrix which acts like the scalar. That is, if the scalar is s and we do M=s, then multiplying another Matrix B by the resulting diagonal matrix M gives the same result as multiplying B by s. That is (M=s)*B == s*B.

NOTE: this must be overridden for Vector and RowVector since then scalar assignment is defined to copy the scalar to every element.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::MatrixView_< ELT >, SimTK::DeadMatrixView_< ELT >, SimTK::Matrix_< ELT >, SimTK::VectorView_< ELT >, SimTK::Vector_< ELT >, SimTK::RowVectorView_< ELT >, SimTK::RowVector_< ELT >, SimTK::VectorBase< T >, SimTK::VectorBase< Real >, SimTK::Vector_< T >, and SimTK::Vector_< Real >.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarAssign ( const S & s ) [inline]

Set M's diagonal elements to a "scalar" value S, and all off-diagonal elements to zero.

S can be any type which is assignable to an element of type E. This is the same as the Matrix assignment operator M=S for a scalar type S. It is overriden for Vector and Row types to behave as elementwiseScalarAssign.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarAddInPlace ( const S & s ) [inline]

Add a scalar to M's diagonal.

This is the same as the Matrix += operator. This is overridden for Vector and Row types to behave as elementwiseAddScalarInPlace.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarSubtractInPlace ( const S & s ) [inline]

Subtract a scalar from M's diagonal.

This is the same as the Matrix -= operator. This is overridden for Vector and Row types to behave as elementwiseSubtractScalarInPlace.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarSubtractFromLeftInPlace ( const S & s ) [inline]

Set M(i,i) = S - M(i,i), M(i,j) = -M(i,j) for i!=j.

This is overridden for Vector and Row types to behave as elementwiseSubtractFromScalarInPlace.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarMultiplyInPlace ( const S & ) [inline]

Set M(i,j) = M(i,j)*S for some "scalar" S.

Actually S can be any type for which E = E*S makes sense. That is, S must be conformant with E and it must be possible to store the result back in an E. This is the *= operator for M *= S and behaves the same way for Matrix, Vector, and RowVector: every element gets multiplied in place on the right by S.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarMultiplyFromLeftInPlace ( const S & ) [inline]

Set M(i,j) = S * M(i,j) for some "scalar" S.

This is the same as the above routine if S really is a scalar, but for S a more complicated CNT it will be different.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarDivideInPlace ( const S & ) [inline]

Set M(i,j) = M(i,j)/S for some "scalar" S.

Actually S can be any type for which E = E/S makes sense. That is, S^-1 must be conformant with E and it must be possible to store the result back in an E. This is the /= operator for M /= S and behaves the same way for Matrix, Vector, and RowVector: every element gets divided in place on the right by S.

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::scalarDivideFromLeftInPlace ( const S & ) [inline]

Set M(i,j) = S/M(i,j) for some "scalar" S.

Actually S can be any type for which E = S/E makes sense. That is, S must be conformant with E^-1 and it must be possible to store the result back in an E.

template<class ELT >

template<class EE >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::rowScaleInPlace ( const VectorBase< EE > & v ) [inline]

M = diag(r) * M; r must have nrow() elements.

That is, M[i] *= r[i].

Reimplemented in SimTK::VectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::rowScale	(	const VectorBase< EE > &	r,
		typename EltResult< EE >::Mul &	out
	)		const `[inline]`

Return type is a new matrix which will have the same dimensions as 'this' but will have element types appropriate for the elementwise multiply being performed.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

template<class EE >

EltResult<EE>::Mul SimTK::MatrixBase< ELT >::rowScale ( const VectorBase< EE > & r ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT >

template<class EE >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::colScaleInPlace ( const VectorBase< EE > & v ) [inline]

M = M * diag(c); c must have ncol() elements.

That is, M(j) *= c[j].

Reimplemented in SimTK::RowVectorBase< ELT >.

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::colScale	(	const VectorBase< EE > &	c,
		typename EltResult< EE >::Mul &	out
	)		const `[inline]`

Reimplemented in SimTK::RowVectorBase< ELT >.

template<class ELT>

template<class EE >

EltResult<EE>::Mul SimTK::MatrixBase< ELT >::colScale ( const VectorBase< EE > & c ) const [inline]

Reimplemented in SimTK::RowVectorBase< ELT >.

template<class ELT >

template<class ER , class EC >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::rowAndColScaleInPlace	(	const VectorBase< ER > &	r,
		const VectorBase< EC > &	c
	)		`[inline]`

M = diag(r) * M * diag(c); r must have nrow() elements; must have ncol() elements.

That is, M(i,j) *= r[i]*c[j]. Having a combined row & column scaling operator means we can go through the matrix memory once instead of twice.

template<class ELT >

template<class ER , class EC >

void SimTK::MatrixBase< ELT >::rowAndColScale	(	const VectorBase< ER > &	r,
		const VectorBase< EC > &	c,
		typename EltResult< typename VectorBase< ER >::template EltResult< EC >::Mul >::Mul &	out
	)		const `[inline]`

template<class ELT>

template<class ER , class EC >

EltResult<typename VectorBase<ER>::template EltResult<EC>::Mul>::Mul SimTK::MatrixBase< ELT >::rowAndColScale	(	const VectorBase< ER > &	r,
		const VectorBase< EC > &	c
	)		const `[inline]`

template<class ELT>

template<class S >

MatrixBase& SimTK::MatrixBase< ELT >::elementwiseAssign ( const S & s ) [inline]

Set M(i,j)=s for every element of M and some value s.

This requires only that s be assignment compatible with M's elements; s doesn't actually have to be a scalar. Note that for Matrix types this behavior is different than scalar assignment, which puts the scalar only on M's diagonal and sets the rest of M to zero. For Vector and RowVector types, this operator is identical to the normal assignment operator and scalarAssignInPlace() method which also assign the scalar to every element.

template<class ELT >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseInvertInPlace ( ) [inline]

Set M(i,j) = M(i,j)^-1.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT >

void SimTK::MatrixBase< ELT >::elementwiseInvert ( MatrixBase< typename CNT< E >::TInvert > & out ) const [inline]

template<class ELT>

MatrixBase<typename CNT<E>::TInvert> SimTK::MatrixBase< ELT >::elementwiseInvert ( ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT >

template<class S >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseAddScalarInPlace ( const S & s ) [inline]

Set M(i,j)+=s for every element of M and some value s.

This requires that s be conformant with M's elements (of type E) and that the result can be stored in an E. For Matrix types this behavior is different than the normal += or scalarAddInPlace() operators, which add the scalar only to the Matrix diagonal. For Vector and RowVector, this operator is identical to += and scalarAddInPlace() which also add the scalar to every element.

template<class ELT>

template<class S >

void SimTK::MatrixBase< ELT >::elementwiseAddScalar	(	const S &	s,
		typename EltResult< S >::Add &
	)		const `[inline]`

template<class ELT>

template<class S >

EltResult<S>::Add SimTK::MatrixBase< ELT >::elementwiseAddScalar ( const S & s ) const [inline]

template<class ELT >

template<class S >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseSubtractScalarInPlace ( const S & s ) [inline]

Set M(i,j)-=s for every element of M and some value s.

This requires that s be conformant with M's elements (of type E) and that the result can be stored in an E. For Matrix types this behavior is different than the normal -= or scalarSubtractInPlace() operators, which subtract the scalar only from the Matrix diagonal. For Vector and RowVector, this operator is identical to -= and scalarSubtractInPlace() which also subtract the scalar from every element.

template<class ELT>

template<class S >

void SimTK::MatrixBase< ELT >::elementwiseSubtractScalar	(	const S &	s,
		typename EltResult< S >::Sub &
	)		const `[inline]`

template<class ELT>

template<class S >

EltResult<S>::Sub SimTK::MatrixBase< ELT >::elementwiseSubtractScalar ( const S & s ) const [inline]

template<class ELT >

template<class S >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseSubtractFromScalarInPlace ( const S & s ) [inline]

Set M(i,j) = s - M(i,j) for every element of M and some value s.

This requires that s be conformant with M's elements (of type E) and that the result can be stored in an E. For Matrix types this behavior is different than the scalarSubtractFromLeftInPlace() operator, which subtracts only the diagonal elements of M from s, while simply negating the off diagonal elements. For Vector and RowVector, this operator is identical to scalarSubtractFromLeftInPlace() which also subtracts every element of M from the scalar.

template<class ELT >

template<class S >

void SimTK::MatrixBase< ELT >::elementwiseSubtractFromScalar	(	const S &	s,
		typename MatrixBase< S >::template EltResult< E >::Sub &	out
	)		const `[inline]`

template<class ELT>

template<class S >

MatrixBase<S>::template EltResult<E>::Sub SimTK::MatrixBase< ELT >::elementwiseSubtractFromScalar ( const S & s ) const [inline]

template<class ELT >

template<class EE >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseMultiplyInPlace ( const MatrixBase< EE > & r ) [inline]

M(i,j) *= R(i,j); R must have same dimensions as this.

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::elementwiseMultiply	(	const MatrixBase< EE > &	,
		typename EltResult< EE >::Mul &
	)		const `[inline]`

template<class ELT>

template<class EE >

EltResult<EE>::Mul SimTK::MatrixBase< ELT >::elementwiseMultiply ( const MatrixBase< EE > & m ) const [inline]

template<class ELT >

template<class EE >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseMultiplyFromLeftInPlace ( const MatrixBase< EE > & r ) [inline]

M(i,j) = R(i,j) * M(i,j); R must have same dimensions as this.

template<class ELT >

template<class EE >

void SimTK::MatrixBase< ELT >::elementwiseMultiplyFromLeft	(	const MatrixBase< EE > &	r,
		typename MatrixBase< EE >::template EltResult< E >::Mul &	out
	)		const `[inline]`

template<class ELT>

template<class EE >

MatrixBase<EE>::template EltResult<E>::Mul SimTK::MatrixBase< ELT >::elementwiseMultiplyFromLeft ( const MatrixBase< EE > & m ) const [inline]

template<class ELT >

template<class EE >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseDivideInPlace ( const MatrixBase< EE > & r ) [inline]

M(i,j) /= R(i,j); R must have same dimensions as this.

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::elementwiseDivide	(	const MatrixBase< EE > &	,
		typename EltResult< EE >::Dvd &
	)		const `[inline]`

template<class ELT>

template<class EE >

EltResult<EE>::Dvd SimTK::MatrixBase< ELT >::elementwiseDivide ( const MatrixBase< EE > & m ) const [inline]

template<class ELT >

template<class EE >

MatrixBase< ELT > & SimTK::MatrixBase< ELT >::elementwiseDivideFromLeftInPlace ( const MatrixBase< EE > & r ) [inline]

M(i,j) = R(i,j) / M(i,j); R must have same dimensions as this.

template<class ELT >

template<class EE >

void SimTK::MatrixBase< ELT >::elementwiseDivideFromLeft	(	const MatrixBase< EE > &	r,
		typename MatrixBase< EE >::template EltResult< E >::Dvd &	out
	)		const `[inline]`

template<class ELT>

template<class EE >

MatrixBase<EE>::template EltResult<EE>::Dvd SimTK::MatrixBase< ELT >::elementwiseDivideFromLeft ( const MatrixBase< EE > & m ) const [inline]

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::setTo ( const ELT & t ) [inline]

Fill every element in current allocation with given element (or NaN or 0).

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::setToNaN ( ) [inline]

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::setToZero ( ) [inline]

template<class ELT >

RowVectorView_< ELT > SimTK::MatrixBase< ELT >::row ( int i ) const [inline]

template<class ELT >

RowVectorView_< ELT > SimTK::MatrixBase< ELT >::updRow ( int i ) [inline]

template<class ELT >

VectorView_< ELT > SimTK::MatrixBase< ELT >::col ( int j ) const [inline]

template<class ELT >

VectorView_< ELT > SimTK::MatrixBase< ELT >::updCol ( int j ) [inline]

template<class ELT>

RowVectorView_<ELT> SimTK::MatrixBase< ELT >::operator[] ( int i ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

RowVectorView_<ELT> SimTK::MatrixBase< ELT >::operator[] ( int i ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

VectorView_<ELT> SimTK::MatrixBase< ELT >::operator() ( int j ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

VectorView_<ELT> SimTK::MatrixBase< ELT >::operator() ( int j ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT >

MatrixView_< ELT > SimTK::MatrixBase< ELT >::block	(	int	i,
		int	j,
		int	m,
		int	n
	)		const `[inline]`

template<class ELT >

MatrixView_< ELT > SimTK::MatrixBase< ELT >::updBlock	(	int	i,
		int	j,
		int	m,
		int	n
	)		`[inline]`

template<class ELT>

MatrixView_<ELT> SimTK::MatrixBase< ELT >::operator()	(	int	i,
		int	j,
		int	m,
		int	n
	)		const `[inline]`

template<class ELT>

MatrixView_<ELT> SimTK::MatrixBase< ELT >::operator()	(	int	i,
		int	j,
		int	m,
		int	n
	)		`[inline]`

template<class E >

MatrixView_< typename CNT< E >::THerm > SimTK::MatrixBase< E >::transpose ( ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class E >

MatrixView_< typename CNT< E >::THerm > SimTK::MatrixBase< E >::updTranspose ( ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

MatrixView_<EHerm> SimTK::MatrixBase< ELT >::operator~ ( ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

MatrixView_<EHerm> SimTK::MatrixBase< ELT >::operator~ ( ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class E >

VectorView_< E > SimTK::MatrixBase< E >::diag ( ) const [inline]

template<class E >

VectorView_< E > SimTK::MatrixBase< E >::updDiag ( ) [inline]

template<class ELT>

TInvert SimTK::MatrixBase< ELT >::invert ( ) const [inline]

template<class ELT>

void SimTK::MatrixBase< ELT >::invertInPlace ( ) [inline]

template<class ELT>

void SimTK::MatrixBase< ELT >::dump ( const char * msg = 0 ) const [inline]

Matlab-compatible debug output.

template<class ELT>

template<class ELT_A , class ELT_B >

MatrixBase& SimTK::MatrixBase< ELT >::matmul	(	const StdNumber &	beta,
		const StdNumber &	alpha,
		const MatrixBase< ELT_A > &	A,
		const MatrixBase< ELT_B > &	B
	)		`[inline]`

template<class ELT>

const ELT& SimTK::MatrixBase< ELT >::getElt	(	int	i,
		int	j
	)		const `[inline]`

Element selection for stored elements.

These are the fastest element access methods but may not be able to access all elements of the logical matrix when some of its elements are not stored in memory. For example, a Hermitian matrix stores only half its elements and other ones have to be calculated by conjugation if they are to be returned as type ELT. (You can get them for free by recasting the matrix so that the elements are reinterpreted as conjugates.) If you want to guarantee that you can access the value of every element of a matrix, stored or not, use getAnyElt() instead.

template<class ELT>

ELT& SimTK::MatrixBase< ELT >::updElt	(	int	i,
		int	j
	)		`[inline]`

template<class ELT>

const ELT& SimTK::MatrixBase< ELT >::operator()	(	int	i,
		int	j
	)		const `[inline]`

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

ELT& SimTK::MatrixBase< ELT >::operator()	(	int	i,
		int	j
	)		`[inline]`

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

void SimTK::MatrixBase< ELT >::getAnyElt	(	int	i,
		int	j,
		ELT &	value
	)		const `[inline]`

This returns a copy of the element value for any position in the logical matrix, regardless of whether it is stored in memory.

If necessary the element's value is calculated. This is much slower than getElt() but less restrictive.

See also:: getElt()

template<class ELT>

ELT SimTK::MatrixBase< ELT >::getAnyElt	(	int	i,
		int	j
	)		const `[inline]`

template<class ELT>

ScalarNormSq SimTK::MatrixBase< ELT >::scalarNormSqr ( ) const [inline]

Scalar norm square is sum( squares of all scalars ).

Note that this is not very useful unless the elements are themselves scalars.

template<class ELT>

void SimTK::MatrixBase< ELT >::abs ( TAbs & mabs ) const [inline]

abs() is elementwise absolute value; that is, the return value has the same dimension as this Matrix but with each element replaced by whatever it thinks its absolute value is.

template<class ELT>

TAbs SimTK::MatrixBase< ELT >::abs ( ) const [inline]

abs() with the result as a function return.

More convenient than the other abs() member function, but may involve an additional copy of the matrix.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

TStandard SimTK::MatrixBase< ELT >::standardize ( ) const [inline]

Return a Matrix of the same shape and contents as this one but with the element type converted to one based on the standard C++ scalar types: float, double, complex<float>, complex<double>.

That is, negator<> and conjugate<> are eliminated from the element type by performing any needed negations computationally. Note that this is actually producing a new matrix with new data; you can also do this for free by reinterpreting the current matrix as a different type, if you don't mind looking at shared data.

template<class ELT>

ScalarNormSq SimTK::MatrixBase< ELT >::normSqr ( ) const [inline]

This is the scalar Frobenius norm, and its square.

Note: if this is a Matrix then the Frobenius norm is NOT the same as the 2-norm, although they are equivalent for Vectors.

template<class ELT>

CNT<ScalarNormSq>::TSqrt SimTK::MatrixBase< ELT >::norm ( ) const [inline]

template<class ELT>

CNT<ScalarNormSq>::TSqrt SimTK::MatrixBase< ELT >::normRMS ( ) const [inline]

We only allow RMS norm if the elements are scalars.

If there are no elements in this Matrix, we'll define its RMS norm to be 0, although NaN might be a better choice.

template<class ELT>

RowVectorBase<ELT> SimTK::MatrixBase< ELT >::sum ( ) const [inline]

Form the column sums of this matrix, returned as a RowVector.

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

const MatrixBase& SimTK::MatrixBase< ELT >::operator+ ( ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

const TNeg& SimTK::MatrixBase< ELT >::negate ( ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::Matrix_< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

TNeg& SimTK::MatrixBase< ELT >::updNegate ( ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::Matrix_< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

const TNeg& SimTK::MatrixBase< ELT >::operator- ( ) const [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::Matrix_< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

TNeg& SimTK::MatrixBase< ELT >::operator- ( ) [inline]

Reimplemented in SimTK::VectorBase< ELT >, SimTK::RowVectorBase< ELT >, SimTK::Matrix_< ELT >, SimTK::VectorBase< T >, and SimTK::VectorBase< Real >.

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::negateInPlace ( ) [inline]

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::resize	(	int	m,
		int	n
	)		`[inline]`

Change the size of this matrix.

This is only allowed for owner matrices. The current storage format is retained, but all the data is lost. If you want to keep the old data, use resizeKeep().

See also:: resizeKeep()

template<class ELT>

MatrixBase& SimTK::MatrixBase< ELT >::resizeKeep	(	int	m,
		int	n
	)		`[inline]`

Change the size of this matrix, retaining as much of the old data as will fit.

This is only allowed for owner matrices. The current storage format is retained, and the existing data is copied into the new memory to the extent that it will fit.

See also:: resize()

template<class ELT>

void SimTK::MatrixBase< ELT >::lockShape ( ) [inline]

template<class ELT>

void SimTK::MatrixBase< ELT >::unlockShape ( ) [inline]

template<class ELT>

const MatrixView_<ELT>& SimTK::MatrixBase< ELT >::getAsMatrixView ( ) const [inline]

template<class ELT>

MatrixView_<ELT>& SimTK::MatrixBase< ELT >::updAsMatrixView ( ) [inline]

template<class ELT>

const Matrix_<ELT>& SimTK::MatrixBase< ELT >::getAsMatrix ( ) const [inline]

template<class ELT>

Matrix_<ELT>& SimTK::MatrixBase< ELT >::updAsMatrix ( ) [inline]

template<class ELT>

const VectorView_<ELT>& SimTK::MatrixBase< ELT >::getAsVectorView ( ) const [inline]

template<class ELT>

VectorView_<ELT>& SimTK::MatrixBase< ELT >::updAsVectorView ( ) [inline]

template<class ELT>

const Vector_<ELT>& SimTK::MatrixBase< ELT >::getAsVector ( ) const [inline]

template<class ELT>

Vector_<ELT>& SimTK::MatrixBase< ELT >::updAsVector ( ) [inline]

template<class ELT>

const VectorBase<ELT>& SimTK::MatrixBase< ELT >::getAsVectorBase ( ) const [inline]

template<class ELT>

VectorBase<ELT>& SimTK::MatrixBase< ELT >::updAsVectorBase ( ) [inline]

template<class ELT>

const RowVectorView_<ELT>& SimTK::MatrixBase< ELT >::getAsRowVectorView ( ) const [inline]

template<class ELT>

RowVectorView_<ELT>& SimTK::MatrixBase< ELT >::updAsRowVectorView ( ) [inline]

template<class ELT>

const RowVector_<ELT>& SimTK::MatrixBase< ELT >::getAsRowVector ( ) const [inline]

template<class ELT>

RowVector_<ELT>& SimTK::MatrixBase< ELT >::updAsRowVector ( ) [inline]

template<class ELT>

const RowVectorBase<ELT>& SimTK::MatrixBase< ELT >::getAsRowVectorBase ( ) const [inline]

template<class ELT>

RowVectorBase<ELT>& SimTK::MatrixBase< ELT >::updAsRowVectorBase ( ) [inline]

template<class ELT>

int SimTK::MatrixBase< ELT >::getNScalarsPerElement ( ) const [inline]

This is the number of consecutive scalars used to represent one element of type ELT.

This may be fewer than C++ would use for the element, since it may introduce some padding.

template<class ELT>

int SimTK::MatrixBase< ELT >::getPackedSizeofElement ( ) const [inline]

This is like sizeof(ELT), but returning the number of bytes we use to store the element which may be fewer than what C++ would use.

We store these packed elements adjacent to one another in memory.

template<class ELT>

bool SimTK::MatrixBase< ELT >::hasContiguousData ( ) const [inline]

template<class ELT>

ptrdiff_t SimTK::MatrixBase< ELT >::getContiguousScalarDataLength ( ) const [inline]

template<class ELT>

const Scalar* SimTK::MatrixBase< ELT >::getContiguousScalarData ( ) const [inline]

template<class ELT>

Scalar* SimTK::MatrixBase< ELT >::updContiguousScalarData ( ) [inline]

template<class ELT>

void SimTK::MatrixBase< ELT >::replaceContiguousScalarData	(	Scalar *	newData,
		ptrdiff_t	length,
		bool	takeOwnership
	)		`[inline]`

template<class ELT>

void SimTK::MatrixBase< ELT >::replaceContiguousScalarData	(	const Scalar *	newData,
		ptrdiff_t	length
	)		`[inline]`

template<class ELT>

void SimTK::MatrixBase< ELT >::swapOwnedContiguousScalarData	(	Scalar *	newData,
		ptrdiff_t	length,
		Scalar *&	oldData
	)		`[inline]`

template<class ELT>

const MatrixHelper<Scalar>& SimTK::MatrixBase< ELT >::getHelper ( ) const [inline, protected]

template<class ELT>

MatrixHelper<Scalar>& SimTK::MatrixBase< ELT >::updHelper ( ) [inline, protected]

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::rowScale	(	const VectorBase< EE > &	v,
		typename MatrixBase< ELT >::template EltResult< EE >::Mul &	out
	)		const `[inline]`

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::colScale	(	const VectorBase< EE > &	v,
		typename MatrixBase< ELT >::template EltResult< EE >::Mul &	out
	)		const `[inline]`

template<class ELT>

template<class S >

void SimTK::MatrixBase< ELT >::elementwiseAddScalar	(	const S &	s,
		typename MatrixBase< ELT >::template EltResult< S >::Add &	out
	)		const `[inline]`

template<class ELT>

template<class S >

void SimTK::MatrixBase< ELT >::elementwiseSubtractScalar	(	const S &	s,
		typename MatrixBase< ELT >::template EltResult< S >::Sub &	out
	)		const `[inline]`

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::elementwiseMultiply	(	const MatrixBase< EE > &	r,
		typename MatrixBase< ELT >::template EltResult< EE >::Mul &	out
	)		const `[inline]`

template<class ELT>

template<class EE >

void SimTK::MatrixBase< ELT >::elementwiseDivide	(	const MatrixBase< EE > &	r,
		typename MatrixBase< ELT >::template EltResult< EE >::Dvd &	out
	)		const `[inline]`

Friends And Related Function Documentation

template<class ELT>

friend class MatrixBase [friend]

The documentation for this class was generated from the following file:

BigMatrix.h

SimTK::MatrixBase< ELT > Class Template Reference

Classes

Public Types

Public Member Functions

Protected Member Functions

Friends

Detailed Description

template<class ELT> class SimTK::MatrixBase< ELT >

Member Typedef Documentation

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

template<class ELT>
class SimTK::MatrixBase< ELT >