Quasiconvex Semidefinite Minimization Problem
Author(s) -
Rentsen Enkhbat,
T. Bayartugs
Publication year - 2013
Publication title -
journal of optimization
Language(s) - English
Resource type - Journals
eISSN - 2356-752X
pISSN - 2314-6486
DOI - 10.1155/2013/346131
Subject(s) - quasiconvex function , minification , mathematical optimization , sequence (biology) , mathematics , semidefinite programming , construct (python library) , semidefinite embedding , computer science , quadratically constrained quadratic program , convex optimization , regular polygon , convex analysis , geometry , biology , genetics , programming language , quadratic programming
We introduce so-called semidefinite quasiconvex minimization problem. We derive new global optimality conditions for the above problem. Based on the global optimality conditions, we construct an algorithm which generates a sequence of local minimizers which converge to a global solution
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