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SOC Functions

In: SOC Functions and Their Applications

Author

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  • Jein-Shan Chen

    (National Taiwan Normal University)

Abstract

During the past two decades, there have been active research for second-order cone programs (SOCPs) and second-order cone complementarity problems (SOCCPs). Various methods had been proposed which include the interior-point methods [1, 102, 109, 123, 146], the smoothing Newton methods [51, 63, 71], the semismooth Newton methods [86, 120], and the merit function methods [43, 48]. All of these methods are proposed by using some SOC complementarity function or merit function to reformulate the KKT optimality conditions as a nonsmooth (or smoothing) system of equations or an unconstrained minimization problem. In fact, such SOC complementarity functions or merit functions are closely connected to so-called SOC functions. In other words, studying SOC functions is crucial to dealing with SOCP and SOCCP, which is the main target of this chapter.

Suggested Citation

  • Jein-Shan Chen, 2019. "SOC Functions," Springer Optimization and Its Applications, in: SOC Functions and Their Applications, chapter 0, pages 1-37, Springer.
    • Handle: RePEc:spr:spochp:978-981-13-4077-2_1
    DOI: 10.1007/978-981-13-4077-2_1
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