#include <mx.hpp>

Detailed Description

The MX class is used to build up trees made up from MXNodes. It is a more general graph representation than the scalar expression, SX, and much less efficient for small objects. On the other hand, the class allows much more general operations than does SX, in particular matrix valued operations and calls to arbitrary differentiable functions.

The MX class is designed to have identical syntax with the Matrix<> template class, and uses DM (i.e. Matrix<double>) as its internal representation of the values at a node. By keeping the syntaxes identical, it is possible to switch from one class to the other, as well as inlining MX functions to SXElem functions.

Note that an operation is always "lazy", making a matrix multiplication will create a matrix multiplication node, not perform the actual multiplication.

Author: Joel Andersson

Date: 2010-2011

Extra doc: https://github.com/casadi/casadi/wiki/L_py

Definition at line 80 of file mx.hpp.

Inheritance diagram for casadi::MX:

[legend]

Public Types
typedef std::map< std::string, MX >	MXDict
	Readability typedef. More...

Public Member Functions
	MX ()
	Default constructor. More...

	MX (casadi_int nrow, casadi_int ncol)
	Create a sparse matrix with all structural zeros. More...

	MX (const Sparsity &sp)
	Create a sparse matrix from a sparsity pattern. More...

	MX (const Sparsity &sp, const MX &val)
	Construct matrix with a given sparsity and nonzeros. More...

	MX (const Sparsity &sp, const std::string &fname)
	Construct matrix with a given sparsity and a file with nonzeros. More...

	MX (double x)
	Create scalar constant (also implicit type conversion) More...

	MX (const Matrix< double > &x)
	Create sparse matrix constant (also implicit type conversion) More...

bool	__nonzero__ () const
	Returns the truth value of an MX expression. More...

Sparsity	get_sparsity () const
	Get an owning reference to the sparsity pattern. More...

void	erase (const std::vector< casadi_int > &rr, const std::vector< casadi_int > &cc, bool ind1=false)
	Erase a submatrix (leaving structural zeros in its place) More...

void	erase (const std::vector< casadi_int > &rr, bool ind1=false)
	Erase a submatrix (leaving structural zeros in its place) More...

void	enlarge (casadi_int nrow, casadi_int ncol, const std::vector< casadi_int > &rr, const std::vector< casadi_int > &cc, bool ind1=false)
	Enlarge matrix. More...

MX	operator- () const

MX	dep (casadi_int ch=0) const
	Get the nth dependency as MX. More...

casadi_int	n_out () const
	Number of outputs. More...

MX	get_output (casadi_int oind) const
	Get an output. More...

casadi_int	n_dep () const
	Get the number of dependencies of a binary SXElem. More...

std::string	name () const
	Get the name. More...

	operator double () const
	Get the value (only for scalar constant nodes) More...

	operator Matrix< double > () const
	Get the value (only for constant nodes) More...

bool	is_symbolic () const
	Check if symbolic. More...

bool	is_constant () const
	Check if constant. More...

bool	is_call () const
	Check if evaluation. More...

Function	which_function () const
	Get function - only valid when is_call() is true. More...

bool	is_output () const
	Check if evaluation output. More...

bool	has_output () const
	Check if a multiple output node. More...

casadi_int	which_output () const
	Get the index of evaluation output - only valid when is_output() is true. More...

bool	is_op (casadi_int op) const
	Is it a certain operation. More...

bool	is_multiplication () const
	Check if multiplication. More...

bool	is_commutative () const
	Check if commutative operation. More...

bool	is_norm () const
	Check if norm. More...

bool	is_valid_input () const
	Check if matrix can be used to define function inputs. More...

casadi_int	n_primitives () const
	Get the number of primitives for MXFunction inputs/outputs. More...

std::vector< MX >	primitives () const
	Get primitives. More...

bool	is_eye () const
	check if identity More...

bool	is_zero () const
	check if zero (note that false negative answers are possible) More...

bool	is_one () const
	check if zero (note that false negative answers are possible) More...

bool	is_minus_one () const
	check if zero (note that false negative answers are possible) More...

bool	is_transpose () const
	Is the expression a transpose? More...

bool	is_regular () const
	Checks if expression does not contain NaN or Inf. More...

bool	is_binary () const
	Is binary operation. More...

bool	is_unary () const
	Is unary operation. More...

casadi_int	op () const
	Get operation type. More...

Dict	info () const

void	serialize (SerializingStream &s) const
	Serialize an object. More...

MX	printme (const MX &b) const

MX	attachAssert (const MX &y, const std::string &fail_message="") const
	returns itself, but with an assertion attached More...

MX	monitor (const std::string &comment) const
	Monitor an expression. More...

MX	T () const
	Transpose the matrix. More...

Matrix< casadi_int >	mapping () const
	Get an IM representation of a GetNonzeros or SetNonzeros node. More...

void	eval_mx (const std::vector< MX > &arg, std::vector< MX > &res) const
	Evaluate the MX node with new symbolic dependencies. More...

casadi_int	nnz () const
	Get the number of (structural) non-zero elements. More...

casadi_int	nnz_lower () const
	Get the number of non-zeros in the lower triangular half. More...

casadi_int	nnz_upper () const
	Get the number of non-zeros in the upper triangular half. More...

casadi_int	nnz_diag () const
	Get get the number of non-zeros on the diagonal. More...

casadi_int	numel () const
	Get the number of elements. More...

casadi_int	size1 () const
	Get the first dimension (i.e. number of rows) More...

casadi_int	rows () const
	Get the number of rows, Octave-style syntax. More...

casadi_int	size2 () const
	Get the second dimension (i.e. number of columns) More...

casadi_int	columns () const
	Get the number of columns, Octave-style syntax. More...

std::string	dim (bool with_nz=false) const
	Get string representation of dimensions. More...

std::pair< casadi_int, casadi_int >	size () const
	Get the shape. More...

casadi_int	size (casadi_int axis) const
	Get the size along a particular dimensions. More...

bool	is_empty (bool both=false) const
	Check if the sparsity is empty, i.e. if one of the dimensions is zero. More...

bool	is_dense () const
	Check if the matrix expression is dense. More...

bool	is_scalar (bool scalar_and_dense=false) const
	Check if the matrix expression is scalar. More...

bool	is_square () const
	Check if the matrix expression is square. More...

bool	is_vector () const
	Check if the matrix is a row or column vector. More...

bool	is_row () const
	Check if the matrix is a row vector (i.e. size1()==1) More...

bool	is_column () const
	Check if the matrix is a column vector (i.e. size2()==1) More...

bool	is_triu () const
	Check if the matrix is upper triangular. More...

bool	is_tril () const
	Check if the matrix is lower triangular. More...

Sparsity	sparsity () const
	Get the sparsity pattern. More...

std::string	class_name () const
	Get class name. More...

void	disp (std::ostream &stream, bool more=false) const
	Print a description of the object. More...

std::string	get_str (bool more=false) const
	Get string representation. More...

bool	is_null () const
	Is a null pointer? More...

casadi_int	__hash__ () const
	Returns a number that is unique for a given Node. More...


std::vector< MX >	split_primitives (const MX &x) const
	Split up an expression along symbolic primitives. More...

std::vector< SX >	split_primitives (const SX &x) const
	Split up an expression along symbolic primitives. More...

std::vector< DM >	split_primitives (const DM &x) const
	Split up an expression along symbolic primitives. More...


MX	join_primitives (const std::vector< MX > &v) const
	Join an expression along symbolic primitives. More...

SX	join_primitives (const std::vector< SX > &v) const
	Join an expression along symbolic primitives. More...

DM	join_primitives (const std::vector< DM > &v) const
	Join an expression along symbolic primitives. More...


void	get (MX &m, bool ind1, const Slice &rr) const

void	get (MX &m, bool ind1, const Matrix< casadi_int > &rr) const

void	get (MX &m, bool ind1, const Sparsity &sp) const

void	get (MX &m, bool ind1, const MX &rr) const

void	get (MX &m, bool ind1, const casadi_int rr) const


void	get (MX &m, bool ind1, const Slice &rr, const Slice &cc) const

void	get (MX &m, bool ind1, const Slice &rr, const Matrix< casadi_int > &cc) const

void	get (MX &m, bool ind1, const Slice &rr, casadi_int cc) const

void	get (MX &m, bool ind1, const Matrix< casadi_int > &rr, const Slice &cc) const

void	get (MX &m, bool ind1, casadi_int rr, const Slice &cc) const

void	get (MX &m, bool ind1, const Matrix< casadi_int > &rr, const Matrix< casadi_int > &cc) const

void	get (MX &m, bool ind1, casadi_int rr, casadi_int cc) const

void	get (MX &m, bool ind1, const MX &rr, const Slice &cc) const

void	get (MX &m, bool ind1, const Slice &rr, const MX &cc) const

void	get (MX &m, bool ind1, const MX &rr, const MX &cc) const


void	set (const MX &m, bool ind1, const Slice &rr)

void	set (const MX &m, bool ind1, const Matrix< casadi_int > &rr)

void	set (const MX &m, bool ind1, const Sparsity &sp)


void	set (const MX &m, bool ind1, const Slice &rr, const Slice &cc)

void	set (const MX &m, bool ind1, const Slice &rr, const Matrix< casadi_int > &cc)

void	set (const MX &m, bool ind1, const Matrix< casadi_int > &rr, const Slice &cc)

void	set (const MX &m, bool ind1, const Matrix< casadi_int > &rr, const Matrix< casadi_int > &cc)


void	get_nz (MX &m, bool ind1, const Slice &kk) const

void	get_nz (MX &m, bool ind1, const Matrix< casadi_int > &kk) const

void	get_nz (MX &m, bool ind1, const MX &kk) const

void	get_nz (MX &m, bool ind1, casadi_int kk) const

void	get_nz (MX &m, bool ind1, const MX &inner, const Slice &outer) const

void	get_nz (MX &m, bool ind1, const Slice &inner, const MX &outer) const

void	get_nz (MX &m, bool ind1, const MX &inner, const MX &outer) const


void	set_nz (const MX &m, bool ind1, const Slice &kk)

void	set_nz (const MX &m, bool ind1, const Matrix< casadi_int > &kk)

void	set_nz (const MX &m, bool ind1, const MX &kk)

void	set_nz (const MX &m, bool ind1, casadi_int kk)


std::vector< casadi_int >	get_row () const
	Get the sparsity pattern. See the Sparsity class for details. More...

std::vector< casadi_int >	get_colind () const
	Get the sparsity pattern. See the Sparsity class for details. More...

casadi_int	row (casadi_int el) const
	Get the sparsity pattern. See the Sparsity class for details. More...

casadi_int	colind (casadi_int col) const
	Get the sparsity pattern. See the Sparsity class for details. More...

Static Public Member Functions
static std::string	type_name ()
	Get type name. More...

static MX	deserialize (DeserializingStream &s)
	Deserialize with type disambiguation. More...

static MX	eye (casadi_int n)
	Identity matrix. More...

static DM	bspline_dual (const std::vector< double > &x, const std::vector< std::vector< double > > &knots, const std::vector< casadi_int > &degree, const Dict &opts=Dict())

static MX	interpn_linear (const std::vector< MX > &x, const MX &v, const std::vector< MX > &xq, const Dict &opts=Dict())
	Low-level access to inlined linear interpolation. More...

static void	set_max_depth (casadi_int eq_depth=1)
	Set or reset the depth to which equalities are being checked for simplifications. More...

static casadi_int	get_max_depth ()
	Get the depth to which equalities are being checked for simplifications. More...

static bool	test_cast (const SharedObjectInternal *ptr)
	Check if a particular cast is allowed. More...

static std::vector< MX >	get_input (const Function &f)
	Get function inputs. More...

static std::vector< MX >	get_free (const Function &f)
	Get free variables. More...

static MX	logsumexp (const MX &x)


static MX	binary (casadi_int op, const MX &x, const MX &y)
	Create nodes by their ID. More...

static MX	unary (casadi_int op, const MX &x)
	Create nodes by their ID. More...


static MX	inf (const Sparsity &sp)
	create a matrix with all inf More...

static MX	inf (casadi_int nrow=1, casadi_int ncol=1)
	create a matrix with all inf More...

static MX	inf (const std::pair< casadi_int, casadi_int > &rc)
	create a matrix with all inf More...


static MX	nan (const Sparsity &sp)
	create a matrix with all nan More...

static MX	nan (casadi_int nrow=1, casadi_int ncol=1)
	create a matrix with all nan More...

static MX	nan (const std::pair< casadi_int, casadi_int > &rc)
	create a matrix with all nan More...


static MX	einstein (const MX &A, const MX &B, const MX &C, const std::vector< casadi_int > &dim_a, const std::vector< casadi_int > &dim_b, const std::vector< casadi_int > &dim_c, const std::vector< casadi_int > &a, const std::vector< casadi_int > &b, const std::vector< casadi_int > &c)
	Computes an einstein dense tensor contraction. More...

static MX	einstein (const MX &A, const MX &B, const std::vector< casadi_int > &dim_a, const std::vector< casadi_int > &dim_b, const std::vector< casadi_int > &dim_c, const std::vector< casadi_int > &a, const std::vector< casadi_int > &b, const std::vector< casadi_int > &c)
	Computes an einstein dense tensor contraction. More...


static MX	mpower (const MX &x, const MX &y)

static MX	soc (const MX &x, const MX &y)

static MX	linearize (const MX &f, const MX &x, const MX &x0, const Dict &opts=Dict())

static MX	gradient (const MX &ex, const MX &arg, const Dict &opts=Dict())

static MX	tangent (const MX &ex, const MX &arg, const Dict &opts=Dict())

static MX	jtimes (const MX &ex, const MX &arg, const MX &v, bool tr=false, const Dict &opts=Dict())


static MX	bilin (const MX &A, const MX &x, const MX &y)
	Calculate bilinear/quadratic form x^T A y. More...


static MX	rank1 (const MX &A, const MX &alpha, const MX &x, const MX &y)
	Make a rank-1 update to a matrix A. More...

Construct symbolic primitives
The "sym" function is intended to work in a similar way as "sym" used in the Symbolic Toolbox for Matlab but instead creating a CasADi symbolic primitive.
static MX	sym (const std::string &name, casadi_int nrow=1, casadi_int ncol=1)
	Create an nrow-by-ncol symbolic primitive. More...

static MX	sym (const std::string &name, const std::pair< casadi_int, casadi_int > &rc)
	Construct a symbolic primitive with given dimensions. More...

static MX	sym (const std::string &name, const Sparsity &sp)
	Create symbolic primitive with a given sparsity pattern. More...

static std::vector< MX >	sym (const std::string &name, const Sparsity &sp, casadi_int p)
	Create a vector of length p with with matrices. More...

static std::vector< MX >	sym (const std::string &name, casadi_int nrow, casadi_int ncol, casadi_int p)
	Create a vector of length p with nrow-by-ncol symbolic primitives. More...

static std::vector< std::vector< MX > >	sym (const std::string &name, const Sparsity &sp, casadi_int p, casadi_int r)
	Create a vector of length r of vectors of length p with. More...

static std::vector< std::vector< MX > >	sym (const std::string &name, casadi_int nrow, casadi_int ncol, casadi_int p, casadi_int r)
	Create a vector of length r of vectors of length p. More...


static MX	zeros (casadi_int nrow=1, casadi_int ncol=1)
	Create a dense matrix or a matrix with specified sparsity with all entries zero. More...

static MX	zeros (const Sparsity &sp)
	Create a dense matrix or a matrix with specified sparsity with all entries zero. More...

static MX	zeros (const std::pair< casadi_int, casadi_int > &rc)
	Create a dense matrix or a matrix with specified sparsity with all entries zero. More...


static MX	ones (casadi_int nrow=1, casadi_int ncol=1)
	Create a dense matrix or a matrix with specified sparsity with all entries one. More...

static MX	ones (const Sparsity &sp)
	Create a dense matrix or a matrix with specified sparsity with all entries one. More...

static MX	ones (const std::pair< casadi_int, casadi_int > &rc)
	Create a dense matrix or a matrix with specified sparsity with all entries one. More...

Friends
MX	find (const MX &x)
	Find first nonzero, returned as row index. More...

MX	low (const MX &v, const MX &p, const Dict &options=Dict())
	Find first nonzero. More...

MX	graph_substitute (const MX &ex, const std::vector< MX > &v, const std::vector< MX > &vdef)
	Substitute single expression in graph. More...

std::vector< MX >	graph_substitute (const std::vector< MX > &ex, const std::vector< MX > &v, const std::vector< MX > &vdef)
	Substitute multiple expressions in graph. More...

MX	matrix_expand (const MX &e, const std::vector< MX > &boundary=std::vector< MX >(), const Dict &options=Dict())
	Expand MX graph to SXFunction call. More...

std::vector< MX >	matrix_expand (const std::vector< MX > &e, const std::vector< MX > &boundary=std::vector< MX >(), const Dict &options=Dict())
	Expand MX graph to SXFunction call. More...

MX	bspline (const MX &x, const DM &coeffs, const std::vector< std::vector< double > > &knots, const std::vector< casadi_int > &degree, casadi_int m, const Dict &opts=Dict())

MX	bspline (const MX &x, const MX &coeffs, const std::vector< std::vector< double > > &knots, const std::vector< casadi_int > &degree, casadi_int m, const Dict &opts=Dict())

DM	bspline_dual (const std::vector< double > &x, const std::vector< std::vector< double > > &knots, const std::vector< casadi_int > &degree, const Dict &opts=Dict())

MX	convexify (const MX &H, const Dict &opts=Dict())

MX	lift (const MX &x, const MX &x_guess)
	Lift the expression. More...

MX	inv_node (const MX &x)
	Inverse node. More...

DM	evalf (const MX &expr)
	Evaluates the expression numerically. More...

MX	stop_diff (const MX &expr, casadi_int order)
	Stop derivatives of an expression wrt to all its symbolic variables. More...

MX	no_grad (const MX &expr)
	Stop first derivatives of an expression wrt to all its symbolic variables. More...

MX	no_hess (const MX &expr)
	Stop second derivatives of an expression wrt to all its symbolic variables. More...

MX	stop_diff (const MX &expr, const MX &var, casadi_int order)
	Stop derivatives of an expression wrt to a select set of symbolic variables. More...

std::vector< MX >	difference (const std::vector< MX > &a, const std::vector< MX > &b)

Member Typedef Documentation

◆ MXDict

typedef std::map<std::string, MX> casadi::MX::MXDict

Definition at line 907 of file mx.hpp.

Constructor & Destructor Documentation

◆ MX() [1/7]

casadi::MX::MX ( )

Extra doc: https://github.com/casadi/casadi/wiki/L_q0

◆ MX() [2/7]

casadi::MX::MX	(	casadi_int	nrow,
		casadi_int	ncol
	)

Extra doc: https://github.com/casadi/casadi/wiki/L_q1

◆ MX() [3/7]

casadi::MX::MX ( const Sparsity & sp )

explicit

Same as MX::ones(sparsity)

Extra doc: https://github.com/casadi/casadi/wiki/L_q3

◆ MX() [4/7]

casadi::MX::MX	(	const Sparsity &	sp,
		const MX &	val
	)

Extra doc: https://github.com/casadi/casadi/wiki/L_q4

◆ MX() [5/7]

casadi::MX::MX	(	const Sparsity &	sp,
		const std::string &	fname
	)

Extra doc: https://github.com/casadi/casadi/wiki/L_q5

◆ MX() [6/7]

casadi::MX::MX ( double x )

Extra doc: https://github.com/casadi/casadi/wiki/L_q6

◆ MX() [7/7]

casadi::MX::MX ( const Matrix< double > & x )

Extra doc: https://github.com/casadi/casadi/wiki/L_q8

Member Function Documentation

◆ hash()

casadi_int casadi::SharedObject::__hash__ ( ) const

inherited

If the Object does not point to any node, "0" is returned.

Extra doc: https://github.com/casadi/casadi/wiki/L_av

◆ nonzero()

bool casadi::MX::__nonzero__ ( ) const

◆ attachAssert()

MX casadi::MX::attachAssert	(	const MX &	y,
		const std::string &	fail_message = `""`
	)		const

If y does not evaluate to 1, a runtime error is raised

Extra doc: https://github.com/casadi/casadi/wiki/L_rg

Examples: misc/assertion.py.

◆ bilin()

static MX casadi::GenericMatrix< MX >::bilin	(	const MX &	A,
		const MX &	x,
		const MX &	y
	)

staticinherited

Parameters

[in] y can be omitted, in which case x^T A x is calculated

Extra doc: https://github.com/casadi/casadi/wiki/L_1bo

◆ binary()

static MX casadi::MX::binary	(	casadi_int	op,
		const MX &	x,
		const MX &	y
	)

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r1

◆ bspline_dual()

static DM casadi::MX::bspline_dual	(	const std::vector< double > &	x,
		const std::vector< std::vector< double > > &	knots,
		const std::vector< casadi_int > &	degree,
		const Dict &	opts = `Dict()`
	)

static

◆ class_name()

std::string casadi::SharedObject::class_name ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_au

◆ colind()

casadi_int casadi::GenericMatrix< MX >::colind ( casadi_int col ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b8

Definition at line 201 of file generic_matrix.hpp.

◆ columns()

casadi_int casadi::GenericMatrix< MX >::columns ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1av

Definition at line 124 of file generic_matrix.hpp.

◆ dep()

MX casadi::MX::dep ( casadi_int ch = 0 ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qj

◆ deserialize()

static MX casadi::MX::deserialize ( DeserializingStream & s )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r0

◆ dim()

std::string casadi::GenericMatrix< MX >::dim ( bool with_nz = false ) const

inherited

The representation is e.g. "4x5" or "4x5,10nz"

Extra doc: https://github.com/casadi/casadi/wiki/L_1aw

◆ disp()

void casadi::SharedObject::disp	(	std::ostream &	stream,
		bool	more = `false`
	)		const

inherited

◆ einstein() [1/2]

static MX casadi::MX::einstein	(	const MX &	A,
		const MX &	B,
		const MX &	C,
		const std::vector< casadi_int > &	dim_a,
		const std::vector< casadi_int > &	dim_b,
		const std::vector< casadi_int > &	dim_c,
		const std::vector< casadi_int > &	a,
		const std::vector< casadi_int > &	b,
		const std::vector< casadi_int > &	c
	)

static

Computes the product: C_c = A_a + B_b where a b c are index/einstein notation in an encoded form

For example, an matrix-matrix product may be written as: C_ij = A_ik B_kj

The encoded form uses strictly negative numbers to indicate labels. For the above example, we would have: a {-1, -3} b {-3, -2} c {-1 -2}

Extra doc: https://github.com/casadi/casadi/wiki/L_r5

◆ einstein() [2/2]

static MX casadi::MX::einstein	(	const MX &	A,
		const MX &	B,
		const std::vector< casadi_int > &	dim_a,
		const std::vector< casadi_int > &	dim_b,
		const std::vector< casadi_int > &	dim_c,
		const std::vector< casadi_int > &	a,
		const std::vector< casadi_int > &	b,
		const std::vector< casadi_int > &	c
	)

static

Computes the product: C_c = A_a + B_b where a b c are index/einstein notation in an encoded form

For example, an matrix-matrix product may be written as: C_ij = A_ik B_kj

The encoded form uses strictly negative numbers to indicate labels. For the above example, we would have: a {-1, -3} b {-3, -2} c {-1 -2}

Extra doc: https://github.com/casadi/casadi/wiki/L_r5

◆ enlarge()

void casadi::MX::enlarge	(	casadi_int	nrow,
		casadi_int	ncol,
		const std::vector< casadi_int > &	rr,
		const std::vector< casadi_int > &	cc,
		bool	ind1 = `false`
	)

Make the matrix larger by inserting empty rows and columns, keeping the existing non-zeros

Extra doc: https://github.com/casadi/casadi/wiki/L_qg

◆ erase() [1/2]

void casadi::MX::erase	(	const std::vector< casadi_int > &	rr,
		bool	ind1 = `false`
	)

Erase elements of a matrix

Extra doc: https://github.com/casadi/casadi/wiki/L_qf

◆ erase() [2/2]

void casadi::MX::erase	(	const std::vector< casadi_int > &	rr,
		const std::vector< casadi_int > &	cc,
		bool	ind1 = `false`
	)

Erase rows and/or columns of a matrix

Extra doc: https://github.com/casadi/casadi/wiki/L_qe

◆ eval_mx()

void casadi::MX::eval_mx	(	const std::vector< MX > &	arg,
		std::vector< MX > &	res
	)		const

Extra doc: https://github.com/casadi/casadi/wiki/L_rn

◆ eye()

static MX casadi::MX::eye ( casadi_int n )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r4

◆ get() [1/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		casadi_int	rr,
		casadi_int	cc
	)		const

inline

Get a submatrix, two arguments

Definition at line 467 of file mx.hpp.

◆ get() [2/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		casadi_int	rr,
		const Slice &	cc
	)		const

inline

Get a submatrix, two arguments

Definition at line 462 of file mx.hpp.

◆ get() [3/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const casadi_int	rr
	)		const

inline

Get a submatrix, single argument

Definition at line 449 of file mx.hpp.

◆ get() [4/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	rr
	)		const

Get a submatrix, single argument

◆ get() [5/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	rr,
		const Matrix< casadi_int > &	cc
	)		const

Get a submatrix, two arguments

◆ get() [6/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	rr,
		const Slice &	cc
	)		const

Get a submatrix, two arguments

◆ get() [7/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const MX &	rr
	)		const

Get a submatrix, single argument

◆ get() [8/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const MX &	rr,
		const MX &	cc
	)		const

Get a submatrix, two arguments

◆ get() [9/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const MX &	rr,
		const Slice &	cc
	)		const

Get a submatrix, two arguments

◆ get() [10/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Slice &	rr
	)		const

Get a submatrix, single argument

◆ get() [11/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Slice &	rr,
		casadi_int	cc
	)		const

inline

Get a submatrix, two arguments

Definition at line 458 of file mx.hpp.

◆ get() [12/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Slice &	rr,
		const Matrix< casadi_int > &	cc
	)		const

Get a submatrix, two arguments

◆ get() [13/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Slice &	rr,
		const MX &	cc
	)		const

Get a submatrix, two arguments

◆ get() [14/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Slice &	rr,
		const Slice &	cc
	)		const

Get a submatrix, two arguments

◆ get() [15/15]

void casadi::MX::get	(	MX &	m,
		bool	ind1,
		const Sparsity &	sp
	)		const

Get a submatrix, single argument

◆ get_colind()

std::vector<casadi_int> casadi::GenericMatrix< MX >::get_colind ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b8

Definition at line 195 of file generic_matrix.hpp.

◆ get_free()

static std::vector<MX> casadi::MX::get_free ( const Function & f )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_rm

◆ get_input()

static std::vector<MX> casadi::MX::get_input ( const Function & f )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_rl

◆ get_max_depth()

static casadi_int casadi::MX::get_max_depth ( )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_rk

◆ get_nz() [1/7]

void casadi::MX::get_nz	(	MX &	m,
		bool	ind1,
		casadi_int	kk
	)		const

inline

Get a set of nonzeros

Definition at line 496 of file mx.hpp.

◆ get_nz() [2/7]

void casadi::MX::get_nz	(	MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	kk
	)		const

Get a set of nonzeros

◆ get_nz() [3/7]

void casadi::MX::get_nz	(	MX &	m,
		bool	ind1,
		const MX &	inner,
		const MX &	outer
	)		const

Get a set of nonzeros

◆ get_nz() [4/7]

void casadi::MX::get_nz	(	MX &	m,
		bool	ind1,
		const MX &	inner,
		const Slice &	outer
	)		const

Get a set of nonzeros

◆ get_nz() [5/7]

void casadi::MX::get_nz	(	MX &	m,
		bool	ind1,
		const MX &	kk
	)		const

Get a set of nonzeros

◆ get_nz() [6/7]

void casadi::MX::get_nz	(	MX &	m,
		bool	ind1,
		const Slice &	inner,
		const MX &	outer
	)		const

Get a set of nonzeros

◆ get_nz() [7/7]

void casadi::MX::get_nz	(	MX &	m,
		bool	ind1,
		const Slice &	kk
	)		const

Get a set of nonzeros

◆ get_output()

MX casadi::MX::get_output ( casadi_int oind ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_ql

◆ get_row()

std::vector<casadi_int> casadi::GenericMatrix< MX >::get_row ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b8

Definition at line 194 of file generic_matrix.hpp.

◆ get_sparsity()

Sparsity casadi::MX::get_sparsity ( ) const

inline

Extra doc: https://github.com/casadi/casadi/wiki/L_qd

Definition at line 189 of file mx.hpp.

◆ get_str()

std::string casadi::SharedObject::get_str ( bool more = false ) const

inlineinherited

Definition at line 138 of file shared_object.hpp.

◆ gradient()

static MX casadi::GenericMatrix< MX >::gradient	(	const MX &	ex,
		const MX &	arg,
		const Dict &	opts = `Dict()`
	)

staticinherited

Functions called by friend functions defined here

◆ has_output()

bool casadi::MX::has_output ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_284

◆ inf() [1/3]

static MX casadi::MX::inf	(	casadi_int	nrow = `1`,
		casadi_int	ncol = `1`
	)

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r2

◆ inf() [2/3]

static MX casadi::MX::inf ( const Sparsity & sp )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r2

◆ inf() [3/3]

static MX casadi::MX::inf ( const std::pair< casadi_int, casadi_int > & rc )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r2

◆ info()

Dict casadi::MX::info ( ) const

Obtain information about node

◆ interpn_linear()

static MX casadi::MX::interpn_linear	(	const std::vector< MX > &	x,
		const MX &	v,
		const std::vector< MX > &	xq,
		const Dict &	opts = `Dict()`
	)

static

Usually, you want to be using 'interpolant' instead.

Accepts lookup_mode option.

Extra doc: https://github.com/casadi/casadi/wiki/L_r6

◆ is_binary()

bool casadi::MX::is_binary ( ) const

◆ is_call()

bool casadi::MX::is_call ( ) const

◆ is_column()

bool casadi::GenericMatrix< MX >::is_column ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b5

Definition at line 178 of file generic_matrix.hpp.

◆ is_commutative()

bool casadi::MX::is_commutative ( ) const

◆ is_constant()

bool casadi::MX::is_constant ( ) const

◆ is_dense()

bool casadi::GenericMatrix< MX >::is_dense ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b0

Definition at line 153 of file generic_matrix.hpp.

◆ is_empty()

bool casadi::GenericMatrix< MX >::is_empty ( bool both = false ) const

inlineinherited

(or optionally both dimensions)

Extra doc: https://github.com/casadi/casadi/wiki/L_1az

Definition at line 148 of file generic_matrix.hpp.

◆ is_eye()

bool casadi::MX::is_eye ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qu

◆ is_minus_one()

bool casadi::MX::is_minus_one ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qx

◆ is_multiplication()

bool casadi::MX::is_multiplication ( ) const

◆ is_norm()

bool casadi::MX::is_norm ( ) const

◆ is_null()

bool casadi::SharedObject::is_null ( ) const

inherited

◆ is_one()

bool casadi::MX::is_one ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qw

◆ is_op()

bool casadi::MX::is_op ( casadi_int op ) const

◆ is_output()

bool casadi::MX::is_output ( ) const

◆ is_regular()

bool casadi::MX::is_regular ( ) const

◆ is_row()

bool casadi::GenericMatrix< MX >::is_row ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b4

Definition at line 173 of file generic_matrix.hpp.

◆ is_scalar()

bool casadi::GenericMatrix< MX >::is_scalar ( bool scalar_and_dense = false ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b1

◆ is_square()

bool casadi::GenericMatrix< MX >::is_square ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b2

Definition at line 163 of file generic_matrix.hpp.

◆ is_symbolic()

bool casadi::MX::is_symbolic ( ) const

◆ is_transpose()

bool casadi::MX::is_transpose ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qy

◆ is_tril()

bool casadi::GenericMatrix< MX >::is_tril ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b7

Definition at line 188 of file generic_matrix.hpp.

◆ is_triu()

bool casadi::GenericMatrix< MX >::is_triu ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b6

Definition at line 183 of file generic_matrix.hpp.

◆ is_unary()

bool casadi::MX::is_unary ( ) const

◆ is_valid_input()

bool casadi::MX::is_valid_input ( ) const

Valid inputs for MXFunctions are combinations of Reshape, concatenations and SymbolicMX

Extra doc: https://github.com/casadi/casadi/wiki/L_qn

◆ is_vector()

bool casadi::GenericMatrix< MX >::is_vector ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b3

Definition at line 168 of file generic_matrix.hpp.

◆ is_zero()

bool casadi::MX::is_zero ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qv

◆ join_primitives() [1/3]

DM casadi::MX::join_primitives ( const std::vector< DM > & v ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qr

◆ join_primitives() [2/3]

MX casadi::MX::join_primitives ( const std::vector< MX > & v ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qr

◆ join_primitives() [3/3]

SX casadi::MX::join_primitives ( const std::vector< SX > & v ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qr

◆ jtimes()

static MX casadi::GenericMatrix< MX >::jtimes	(	const MX &	ex,
		const MX &	arg,
		const MX &	v,
		bool	tr = `false`,
		const Dict &	opts = `Dict()`
	)

staticinherited

Functions called by friend functions defined here

◆ linearize()

static MX casadi::GenericMatrix< MX >::linearize	(	const MX &	f,
		const MX &	x,
		const MX &	x0,
		const Dict &	opts = `Dict()`
	)

staticinherited

Functions called by friend functions defined here

◆ logsumexp()

static MX casadi::GenericMatrix< MX >::logsumexp ( const MX & x )

staticinherited

◆ mapping()

Matrix<casadi_int> casadi::MX::mapping ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_ri

◆ monitor()

MX casadi::MX::monitor ( const std::string & comment ) const

Returns itself, but with the side effect of printing the nonzeros along with a comment

Extra doc: https://github.com/casadi/casadi/wiki/L_rh

◆ mpower()

static MX casadi::GenericMatrix< MX >::mpower	(	const MX &	x,
		const MX &	y
	)

staticinherited

Functions called by friend functions defined here

◆ n_dep()

casadi_int casadi::MX::n_dep ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qm

◆ n_out()

casadi_int casadi::MX::n_out ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qk

◆ n_primitives()

casadi_int casadi::MX::n_primitives ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qo

◆ name()

std::string casadi::MX::name ( ) const

◆ nan() [1/3]

static MX casadi::MX::nan	(	casadi_int	nrow = `1`,
		casadi_int	ncol = `1`
	)

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r3

◆ nan() [2/3]

static MX casadi::MX::nan ( const Sparsity & sp )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r3

◆ nan() [3/3]

static MX casadi::MX::nan ( const std::pair< casadi_int, casadi_int > & rc )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r3

◆ nnz()

casadi_int casadi::GenericMatrix< MX >::nnz ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1an

◆ nnz_diag()

casadi_int casadi::GenericMatrix< MX >::nnz_diag ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1aq

◆ nnz_lower()

casadi_int casadi::GenericMatrix< MX >::nnz_lower ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1ao

◆ nnz_upper()

casadi_int casadi::GenericMatrix< MX >::nnz_upper ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1ap

◆ numel()

casadi_int casadi::GenericMatrix< MX >::numel ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1ar

◆ ones() [1/3]

static MX casadi::GenericMatrix< MX >::ones	(	casadi_int	nrow = `1`,
		casadi_int	ncol = `1`
	)

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1di

Definition at line 1096 of file generic_matrix.hpp.

◆ ones() [2/3]

static MX casadi::GenericMatrix< MX >::ones ( const Sparsity & sp )

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1di

Definition at line 1099 of file generic_matrix.hpp.

◆ ones() [3/3]

static MX casadi::GenericMatrix< MX >::ones ( const std::pair< casadi_int, casadi_int > & rc )

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1di

Definition at line 1100 of file generic_matrix.hpp.

◆ op()

casadi_int casadi::MX::op ( ) const

◆ operator double()

casadi::MX::operator double ( ) const

explicit

◆ operator Matrix< double >()

casadi::MX::operator Matrix< double > ( ) const

explicit

◆ operator-()

MX casadi::MX::operator- ( ) const

◆ primitives()

std::vector<MX> casadi::MX::primitives ( ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qp

◆ printme()

MX casadi::MX::printme ( const MX & b ) const

◆ rank1()

static MX casadi::GenericMatrix< MX >::rank1	(	const MX &	A,
		const MX &	alpha,
		const MX &	x,
		const MX &	y
	)

staticinherited

Calculates A + 1/2 * alpha * x*y'

Extra doc: https://github.com/casadi/casadi/wiki/L_1bp

◆ row()

casadi_int casadi::GenericMatrix< MX >::row ( casadi_int el ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b8

Definition at line 200 of file generic_matrix.hpp.

◆ rows()

casadi_int casadi::GenericMatrix< MX >::rows ( ) const

inlineinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1at

Definition at line 114 of file generic_matrix.hpp.

◆ serialize()

void casadi::MX::serialize ( SerializingStream & s ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qz

◆ set() [1/7]

void casadi::MX::set	(	const MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	rr
	)

Set a submatrix, single argument

◆ set() [2/7]

void casadi::MX::set	(	const MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	rr,
		const Matrix< casadi_int > &	cc
	)

Set a submatrix, two arguments

◆ set() [3/7]

void casadi::MX::set	(	const MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	rr,
		const Slice &	cc
	)

Set a submatrix, two arguments

◆ set() [4/7]

void casadi::MX::set	(	const MX &	m,
		bool	ind1,
		const Slice &	rr
	)

Set a submatrix, single argument

◆ set() [5/7]

void casadi::MX::set	(	const MX &	m,
		bool	ind1,
		const Slice &	rr,
		const Matrix< casadi_int > &	cc
	)

Set a submatrix, two arguments

◆ set() [6/7]

void casadi::MX::set	(	const MX &	m,
		bool	ind1,
		const Slice &	rr,
		const Slice &	cc
	)

Set a submatrix, two arguments

◆ set() [7/7]

void casadi::MX::set	(	const MX &	m,
		bool	ind1,
		const Sparsity &	sp
	)

Set a submatrix, single argument

◆ set_max_depth()

static void casadi::MX::set_max_depth ( casadi_int eq_depth = 1 )

static

Extra doc: https://github.com/casadi/casadi/wiki/L_rj

◆ set_nz() [1/4]

void casadi::MX::set_nz	(	const MX &	m,
		bool	ind1,
		casadi_int	kk
	)

inline

Set a set of nonzeros

Definition at line 509 of file mx.hpp.

◆ set_nz() [2/4]

void casadi::MX::set_nz	(	const MX &	m,
		bool	ind1,
		const Matrix< casadi_int > &	kk
	)

Set a set of nonzeros

◆ set_nz() [3/4]

void casadi::MX::set_nz	(	const MX &	m,
		bool	ind1,
		const MX &	kk
	)

Set a set of nonzeros

◆ set_nz() [4/4]

void casadi::MX::set_nz	(	const MX &	m,
		bool	ind1,
		const Slice &	kk
	)

Set a set of nonzeros

◆ size() [1/2]

std::pair<casadi_int, casadi_int> casadi::GenericMatrix< MX >::size ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1ax

◆ size() [2/2]

casadi_int casadi::GenericMatrix< MX >::size ( casadi_int axis ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1ay

◆ size1()

casadi_int casadi::GenericMatrix< MX >::size1 ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1as

◆ size2()

casadi_int casadi::GenericMatrix< MX >::size2 ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1au

◆ soc()

static MX casadi::GenericMatrix< MX >::soc	(	const MX &	x,
		const MX &	y
	)

staticinherited

Functions called by friend functions defined here

◆ sparsity()

Sparsity casadi::GenericMatrix< MX >::sparsity ( ) const

inherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1b9

◆ split_primitives() [1/3]

std::vector<DM> casadi::MX::split_primitives ( const DM & x ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qq

◆ split_primitives() [2/3]

std::vector<MX> casadi::MX::split_primitives ( const MX & x ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qq

◆ split_primitives() [3/3]

std::vector<SX> casadi::MX::split_primitives ( const SX & x ) const

Extra doc: https://github.com/casadi/casadi/wiki/L_qq

◆ sym() [1/7]

static std::vector<MX > casadi::GenericMatrix< MX >::sym	(	const std::string &	name,
		casadi_int	nrow,
		casadi_int	ncol,
		casadi_int	p
	)

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1de

Definition at line 1055 of file generic_matrix.hpp.

◆ sym() [2/7]

static std::vector<std::vector<MX > > casadi::GenericMatrix< MX >::sym	(	const std::string &	name,
		casadi_int	nrow,
		casadi_int	ncol,
		casadi_int	p,
		casadi_int	r
	)

inlinestaticinherited

with nrow-by-ncol symbolic primitives

Extra doc: https://github.com/casadi/casadi/wiki/L_1dg

Definition at line 1074 of file generic_matrix.hpp.

◆ sym() [3/7]

static MX casadi::GenericMatrix< MX >::sym	(	const std::string &	name,
		casadi_int	nrow = `1`,
		casadi_int	ncol = `1`
	)

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1da

Definition at line 1027 of file generic_matrix.hpp.

◆ sym() [4/7]

static MX casadi::GenericMatrix< MX >::sym	(	const std::string &	name,
		const Sparsity &	sp
	)

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1dc

Definition at line 1041 of file generic_matrix.hpp.

◆ sym() [5/7]

std::vector< MX > casadi::GenericMatrix< MX >::sym	(	const std::string &	name,
		const Sparsity &	sp,
		casadi_int	p
	)

staticinherited

with symbolic primitives of given sparsity

Extra doc: https://github.com/casadi/casadi/wiki/L_1dd

Definition at line 1050 of file generic_matrix.hpp.

◆ sym() [6/7]

std::vector< std::vector< MX > > casadi::GenericMatrix< MX >::sym	(	const std::string &	name,
		const Sparsity &	sp,
		casadi_int	p,
		casadi_int	r
	)

staticinherited

symbolic primitives with given sparsity

Extra doc: https://github.com/casadi/casadi/wiki/L_1df

Definition at line 1066 of file generic_matrix.hpp.

◆ sym() [7/7]

static MX casadi::GenericMatrix< MX >::sym	(	const std::string &	name,
		const std::pair< casadi_int, casadi_int > &	rc
	)

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1db

Definition at line 1034 of file generic_matrix.hpp.

◆ T()

MX casadi::MX::T ( ) const

◆ tangent()

static MX casadi::GenericMatrix< MX >::tangent	(	const MX &	ex,
		const MX &	arg,
		const Dict &	opts = `Dict()`
	)

staticinherited

Functions called by friend functions defined here

◆ test_cast()

static bool casadi::MX::test_cast ( const SharedObjectInternal * ptr )

static

◆ type_name()

static std::string casadi::MX::type_name ( )

inlinestatic

Extra doc: https://github.com/casadi/casadi/wiki/L_pz

Definition at line 89 of file mx.hpp.

◆ unary()

static MX casadi::MX::unary	(	casadi_int	op,
		const MX &	x
	)

static

Extra doc: https://github.com/casadi/casadi/wiki/L_r1

◆ which_function()

Function casadi::MX::which_function ( ) const

◆ which_output()

casadi_int casadi::MX::which_output ( ) const

◆ zeros() [1/3]

static MX casadi::GenericMatrix< MX >::zeros	(	casadi_int	nrow = `1`,
		casadi_int	ncol = `1`
	)

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1dh

Definition at line 1083 of file generic_matrix.hpp.

◆ zeros() [2/3]

static MX casadi::GenericMatrix< MX >::zeros ( const Sparsity & sp )

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1dh

Definition at line 1086 of file generic_matrix.hpp.

◆ zeros() [3/3]

static MX casadi::GenericMatrix< MX >::zeros ( const std::pair< casadi_int, casadi_int > & rc )

inlinestaticinherited

Extra doc: https://github.com/casadi/casadi/wiki/L_1dh

Definition at line 1087 of file generic_matrix.hpp.

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

mx.hpp

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Friends

Member Typedef Documentation

◆ MXDict

Constructor & Destructor Documentation

◆ MX() [1/7]

◆ MX() [2/7]

◆ MX() [3/7]

◆ MX() [4/7]

◆ MX() [5/7]

◆ MX() [6/7]

◆ MX() [7/7]

Member Function Documentation

◆ __hash__()

◆ __nonzero__()

◆ attachAssert()

◆ bilin()

◆ binary()

◆ bspline_dual()

◆ class_name()

◆ colind()

◆ columns()

◆ dep()

◆ deserialize()

◆ dim()

◆ disp()

◆ einstein() [1/2]

◆ einstein() [2/2]

◆ enlarge()

◆ erase() [1/2]

◆ erase() [2/2]

◆ eval_mx()

◆ eye()

◆ get() [1/15]

◆ get() [2/15]

◆ get() [3/15]

◆ get() [4/15]

◆ get() [5/15]

◆ get() [6/15]

◆ get() [7/15]

◆ get() [8/15]

◆ get() [9/15]

◆ get() [10/15]

◆ get() [11/15]

◆ get() [12/15]

◆ get() [13/15]

◆ get() [14/15]

◆ get() [15/15]

◆ get_colind()

◆ get_free()

◆ get_input()

◆ get_max_depth()

◆ get_nz() [1/7]

◆ get_nz() [2/7]

◆ get_nz() [3/7]

◆ get_nz() [4/7]

◆ get_nz() [5/7]

◆ get_nz() [6/7]

◆ get_nz() [7/7]

◆ get_output()

◆ get_row()

◆ get_sparsity()

◆ get_str()

◆ gradient()

◆ has_output()

◆ inf() [1/3]

◆ inf() [2/3]

◆ inf() [3/3]

◆ info()

◆ interpn_linear()

◆ is_binary()

◆ is_call()

◆ is_column()

◆ is_commutative()

◆ is_constant()

◆ is_dense()

◆ is_empty()

◆ hash()

◆ nonzero()