api.ast.linalg

Functions

Mod(a, b)
compute_diag_len(p, md, mc[, return_padding])
toInteger(a)
variable_to_sympy(x)

Classes

LinearOperatorDot(ndim, block_shape[, comm])	Generate the Matrix Vector Product function for a BlockLinearOperator,StencilMatrix or StencilInterfaceMatrix.
VectorInner(ndim[, backend])

Details

variable_to_sympy(x)

compute_diag_len(p, md, mc, return_padding=False)

Mod(a, b)

toInteger(a)

class LinearOperatorDot(ndim, block_shape, comm=None, **kwargs)

Bases: SplBasic

Generate the Matrix Vector Product function for a BlockLinearOperator,StencilMatrix or StencilInterfaceMatrix. In case of a BlockLinearOperator we give the number of blocks along the rows and columns specified with the block_shape. In case of StencilMatrix or StencilInterfaceMatrix the block_shape = (1,1).

Parameters:

ndimint

Number of dimensions.

block_shape: tuple of ints

The number of blocks along the rows and columns.

comm: MPI.Comm

MPI intra-communicator.

property func

The top-level function in an expression.

The following should hold for all objects:

>> x == x.func(*x.args)

Examples

>>> from sympy.abc import x
>>> a = 2*x
>>> a.func
<class 'sympy.core.mul.Mul'>
>>> a.args
(2, x)
>>> a.func(*a.args)
2*x
>>> a == a.func(*a.args)
True

property arguments

property code

property folder

default_assumptions = {}

class VectorInner(ndim, backend=None)

Bases: SplBasic

property ndim

property func

The top-level function in an expression.

The following should hold for all objects:

>> x == x.func(*x.args)

Examples

>>> from sympy.abc import x
>>> a = 2*x
>>> a.func
<class 'sympy.core.mul.Mul'>
>>> a.args
(2, x)
>>> a.func(*a.args)
2*x
>>> a == a.func(*a.args)
True

property backend

default_assumptions = {}