discretize.utils.sdiag#

discretize.utils.sdiag(v)[source]#

Generate sparse diagonal matrix from a vector.

This function creates a sparse diagonal matrix whose diagonal elements are defined by the input vector v. For a vector of length n, the output matrix has shape (n,n).

Parameters:

v(n) numpy.ndarray or discretize.utils.Zero: The vector defining the diagonal elements of the sparse matrix being constructed

Returns:

(n, n) scipy.sparse.csr_matrix or discretize.utils.Zero: The sparse diagonal matrix.

Examples

Use a 1D array of values to construct a sparse diagonal matrix.

>>> from discretize.utils import sdiag
>>> import numpy as np
>>> v = np.array([6., 3., 1., 8., 0., 5.])
>>> M = sdiag(v)

Galleries and Tutorials using `discretize.utils.sdiag`#

Operators: Cahn Hilliard

Basic Inner Products

Differential Operators

Advanced Examples

Gauss’ Law of Electrostatics

Gauss' Law of Electrostatics

Advection-Diffusion Equation

discretize.utils.sdiag#

Galleries and Tutorials using discretize.utils.sdiag#

Galleries and Tutorials using `discretize.utils.sdiag`#