Minimization of Sharp Weakly Convex Functions

Alexander Zaslavski
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Alexander Zaslavski: Israel Institute of Technology

Chapter Chapter 11 in Convex Optimization with Computational Errors, 2020, pp 295-320 from Springer

Abstract: Abstract In this chapter we study the subgradient projection algorithm for minimization of sharp weakly convex functions, under the presence of computational errors. The problem is described by an objective function and a set of feasible points.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-37822-6_11

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DOI: 10.1007/978-3-030-37822-6_11

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