Resumen
© 2016 Informa UK Limited, trading as Taylor & Francis Group. In this paper, we analyse the convergence rate of the proximal algorithm proposed by us in the article [A proximal multiplier method for separable convex minimization. Optimization. 2016; 65:501–537], which has been proposed to solve a separable convex minimization problem. We prove that, under mild assumptions, the primal-dual sequences of the algorithm converge linearly to the optimal solution for a class of proximal distances.
Idioma original | Inglés estadounidense |
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Páginas (desde-hasta) | 251-270 |
Número de páginas | 20 |
Publicación | Optimization |
DOI | |
Estado | Publicada - 1 feb. 2017 |