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scipy.sparse.linalg.factorized

Python. Called in 2 tutorials; each line below leads to its place in the tutorial.

ConceptPythonIntermediate

Finite differences: the heat equation as a matrix, and why the time step has a limit

solve = factorized(sparse.eye_array(m, format="csc") - dt * D * A_sp)

ConceptPythonAdvanced

The adjoint method: why 200 derivatives cost two solves, not 201

solve = factorized(K_of(k)) # one LU factorization for both solves