New deterministic methods for global optimization and applications to biomedicine.
We propose two methods for solving numerically minimization problems involving non-linear functions of n variables. The first method is based on an approximation of a n variables function by a separated variables function. The second uses a reducing transformation (ALIENOR) allowing to approach a n variables function by a function of one variable. Applications to biomedical problems and specially to identification of models are given.
Cherruault
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Universite P. et M. Curie-MEDIMAT, Paris, France.
D008432:Mathematical Computing; D008954:Models, Biological