pyrc.core.solver.symbolic

class SparseSymbolicEvaluator(semi_symbolic_matrix: MutableSparseMatrix, time_symbols: list[Symbol])

Bases: object

Parameters:

• semi_symbolic_matrix (SparseMatrix) – Sparse matrix with time-dependent symbols or numpy array

• time_symbols (list[Symbol]) – Ordered list of time-dependent symbols

__init__(semi_symbolic_matrix: MutableSparseMatrix, time_symbols: list[Symbol])

Parameters:

• semi_symbolic_matrix (SparseMatrix) – Sparse matrix with time-dependent symbols or numpy array

• time_symbols (list[Symbol]) – Ordered list of time-dependent symbols

evaluate(time_values=None) → csr_matrix

Parameters:

time_values (array-like) – Values for time-dependent symbols in same order as time_symbols

Returns:

Evaluated sparse matrix

Return type:

csr_matrix