A Direct Method for the Inversion of Physical Systems

A general algorithm for the direct inversion of data to yield unknown functions entering physical systems is presented. Of particular interest are linear and nonlinear dynamical systems. The potential broad applicability of this method is examined in the context of a number of coefficient-recovery problems for partial differential equations. Stability issues are addressed and a stabilization approach, based on inverse asymptotic tracking, is proposed. Numerical examples for a simple illustration are presented, demonstrating the effectiveness of the algorithm.