Numerical Inverse Laplace Transform

The numerical inversion of Laplace transform is formulated as a regularized regression problem (with non-negative constraint for our purpose) and is subsequently solved by an algorithm of Least Distance Programming.

Reference:

1. S. W. Provencher, “A constrained regularization method for inverting data represented by linear algebraic or integral equations,” Comput. Phys. Commun. 27, 213 (1982).
2. C. Lawson, R. Hanson, “Solving Least Squares Problems,” Solving Least Squares Problems (1974).