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2026

Mathematical Programming publishes original articles dealing with every aspect of mathematical optimization; that is, everything of direct or indirect use concerning the problem of optimizing a function of many variables, often subject to a set of constraints.

主办单位: SPRINGER HEIDELBERG
期刊语言: 英语
创刊时间: 1971年
出版周期: 月刊
国际电子刊号: 1436-4646
影响因子: 2.5

最新文章

  • The Preface
  • Computer-assisted design of accelerated composite optimization methods: OptISTA
  • Extended formulations for control languages defined by finite-state automata
  • A 43-approximation for the maximum leaf spanning arborescence problem in DAGs
  • Rank conditions for exactness of semidefinite relaxations in polynomial optimization
  • Stochastic algorithms for large-scale composite optimization: the case of likelihood maximization for X-FEL imaging
  • Interdiction of minimum spanning trees and other matroid bases
  • An accelerated distributed stochastic gradient method with momentum (mar,10.1007/s10107-025-02217-0,2025)
  • Totally Δ-modular IPs with two non-zeros in most rows
  • Exponential convergence rates for momentum stochastic gradient descent in the overparametrized setting