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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 the convergence rates of moment-SOS hierarchies approximation of truncated moment sequences
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  • Online matching on 3-uniform hypergraphs
  • Metric entropy-free sample complexity bounds for sample average approximation in convex stochastic programming
  • Quantitative Indicators for Strength of Inequalities with Respect to a Polyhedron
  • A hierarchy of convex relaxations for the total variation distance
  • On the strength of Burer's lifted convex relaxation to quadratic programming with ball constraints
  • Sensitivity analysis for mixed binary quadratic programming
  • P-split formulations: a class of intermediate formulations between big-M and convex hull for disjunctive constraints
  • Assortment optimization with visibility constraints