Gong Chen, Marc Teboulle
Abstract
An alternative convergence proof of a proximal-like minimization algorithm using Bregman functions, recently proposed by Censor and Zenios, is presented. The analysis allows the establishment of a global convergence rate of the algorithm expressed in terms of function values.
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An alternative convergence proof of a proximal-like minimization algorithm using Bregman functions, recently proposed by Censor and Zenios, is presented. The analysis allows the establishment of a global convergence rate of the algorithm expressed in terms of function values.
Key concepts: Mathematics, Bregman divergence, Minification, Convergence (economics), Algorithm, Rate of convergence, Function (biology), Mathematical optimization