Abstract

This paper deals with a nonlinear nonconvex optimization problem that models prediction of degradation in discrete or discretized mechanical structures. The mathematical difficulty lies in equality constraints of the form $\sum^{m}_{i=1} \frac{1}{y_i} A_i x=b$, where Ai are symmetric and positive semidefinite matrices, b is a vector, and x,y are the vectors of unknowns. The linear objective function to be maximized is $(x,y)\mapsto b^Tx$. In a first step we investigate the problem properties such as existence of solutions and the differentiability of related marginalfunctions. As a by-product, this gives insight in terms of a mechanical interpretation of the optimization problem. We derive an equivalent convex problem formulation and a convex dual problem, and for dyadic matrices Ai a quadratic programming problem formulation is developed. A nontrivial numerical example is included, based on the latter formulation.

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