A computationally efficient parallel Levenberg-Marquardt algorithm for highly parameterized inverse model analyses
Y. Lin, D. O'Malley, V.V. Vesselinov
Water Resources Research2016DOI 10.1002/2016WR019028
Summary
This paper develops a computationally efficient parallel Levenberg-Marquardt method for inverse problems with large observation sets and highly parameterized model spaces. The approach is designed to reduce the computational burden of conventional inverse modeling while preserving the ability to estimate model parameters from large observational datasets.