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Minimizing functions with bounded variation of subgradients

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  • NESTEROV, Yu.

Abstract

In many applications it is possible to justify a reasonable bound for possible variation of subgradients of objective function rather than for their uniform magnitude. In this paper we develop a new class of efficient primal-dual subgradient schemes for such problem classes.

Suggested Citation

  • NESTEROV, Yu., 2005. "Minimizing functions with bounded variation of subgradients," CORE Discussion Papers 2005079, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:2005079
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    File URL: https://uclouvain.be/en/research-institutes/immaq/core/dp-2005.html
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    References listed on IDEAS

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    1. NESTEROV, Yu., 2005. "Primal-dual subgradient methods for convex problems," CORE Discussion Papers 2005067, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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