Solution of Nonlinear Equations via Optimization
Isaac Siwale (ike_siwalehotmail.com)
Abstract: This paper presents four optimization models for solving nonlinear equation systems. The models accommodate both over-specified and under-specified systems. A variable endogenization technique that improves efficiency is introduced, and a basic comparative study shows one of the methods presented to be very effective.
Keywords: Optimization, Multiple Objective Programming, Nonlinear Equations, Game Theory, Compromise Solution, Evolutionary Algorithms
Category 1: Applications -- OR and Management Sciences
Category 2: Nonlinear Optimization (Constrained Nonlinear Optimization )
Category 3: Other Topics (Multi-Criteria Optimization )
Citation: Siwale, I. (2013). Solution of nonlinear equation systems via optimization. Technical Report No. RD-15-2013, London: Apex Research Ltd.
Entry Submitted: 05/04/2013
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