Inverse computing algorithms

Inverse problems play an important role in medicine and biology. They provide the values and distributions of material, shape and boundary parameters that are critical in developing biomedical models. We have developed an efficient, nonlinear optimization-based strategy for solving this class of problems. This strategy relies on the use of adjoint equations, novel continuation methods and efficient preconditioners to solve such problems efficiently.