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A modified fixed point iteration method for solving the system of absolute value equations

Dongmei Yu, Cairong Chen, Deren Han

2020Optimization35 citationsDOI

Abstract

The fixed point iteration (FPI) method proposed by Ke [Appl Math Lett. 2020;99:105990] for solving the absolute value equations (AVE) with the form Ax−|x|=b is interesting for its simplicity and efficiency. However, its convergence is only guaranteed for the case that 0<∥A−1∥<22, excluding the possible case that 22≤∥A−1∥<1. To complete the gap, we develop a modified FPI (MFPI) method for solving the AVE with 0<∥A−1∥<1, which, besides keeping the simplicity of FPI, improves its efficiency by judiciously choosing the involving parameter. Under mild conditions, we prove its linear convergence. We present some preliminary numerical results for 0<∥A−1∥<1, demonstrating its convergence; and compare it with FPI when 0<∥A−1∥<22, illustrating its superiority.

Topics & Concepts

MathematicsConvergence (economics)SimplicityFixed pointFixed-point iterationApplied mathematicsValue (mathematics)Iterative methodMathematical optimizationMathematical analysisStatisticsEpistemologyPhilosophyEconomicsEconomic growthAdvanced Optimization Algorithms ResearchMatrix Theory and AlgorithmsOptimization and Variational Analysis
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