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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

  • New and old bounds for standard quadratic optimization: dominance, equivalence and incomparability
  • Compact formulations as a union of polyhedra
  • Aggregation and discretization in multistage stochastic programming
  • Stochastic programming approach to optimization under uncertainty
  • An inexact primal-dual path following algorithm for convex quadratic SDP
  • Packing and partitioning orbitopes
  • The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming
  • Differential variational inequalities
  • On the complexity of general matrix scaling and entropy minimization via the RAS algorithm
  • On the choice of parameters for the weighting method in vector optimization