`scipy.sparse.linalg._expm_multiply:_expm_multiply_simple`

Signature

   def     _expm_multiply_simple (    A    ,    B    ,    t    =  1.0   ,    traceA    =  None   ,    balance    =  False     )

Compute the action of the matrix exponential at a single time point.

A : transposable linear operator: The operator whose exponential is of interest.
B : ndarray: The matrix to be multiplied by the matrix exponential of A.
t : float: A time point.
traceA : scalar, optional: Trace of A. If not given the trace is estimated for linear operators, or calculated exactly for sparse matrices. It is used to precondition A, thus an approximate trace is acceptable
balance : bool: Indicates whether or not to apply balancing.

This is algorithm (3.2) in Al-Mohy and Higham (2011).