A Dual Approach for Solving Nonlinear Infinite-Norm Minimization Problems with Applications in Separable Cases

Computer Science – Computational Complexity

Scientific paper

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10 pages

Scientific paper

In this paper, we focus on nonlinear infinite-norm minimization problems that
have many applications, especially in computer science and operations research.
We set a reliable Lagrangian dual aproach for solving this kind of problems in
general, and based on this method, we propose an algorithm for the mixed linear
and nonlinear infinite-norm minimization cases with numerical results.

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