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Mathematical Programming

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

  • On distributionally robust chance constrained programs with Wasserstein distance
  • Characterizing quasiconvexity of the pointwise infimum of a family of arbitrary translations of quasiconvex functions, with applications to sums and quasiconvex optimization
  • Iteration complexity of inexact augmented Lagrangian methods for constrained convex programming
  • Error bounds for inequality systems defining convex sets
  • Discrete optimization methods for group model selection in compressed sensing
  • A scaling algorithm for optimizing arbitrary functions over vertices of polytopes
  • Closed convex sets with an open or closed Gauss range
  • New metric properties for prox-regular sets
  • Finding and verifying the nucleolus of cooperative games
  • Convergent upper bounds in global minimization with nonlinear equality constraints