Use of generalized inverses in a renal optimization problem

摘要

The inverse problem in kidney modeling is a severely under determined problem. Imposing a smoothing condition on the basic variables and realistic bounds on the parameters, leads to a constrained minimization problem. A method to solve this problem by a generalized inverse algorithm is given. Computational results are given showing the significance of the smoothing condition.