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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

  • Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints
  • On the global convergence of a generalized iterative procedure for the minisum location problem with l p distances for p > 2
  • Analysis of multi-stage open shop processing systems
  • A note on upper Lipschitz stability, error bounds, and critical multipliers for Lipschitz-continuous KKT systems
  • Some 0/1 polytopes need exponential size extended formulations
  • A probability metrics approach for reducing the bias of optimality gap estimators in two-stage stochastic linear programming
  • A feasible method for optimization with orthogonality constraints
  • Nonlinear regularity models
  • Nonlinear robust optimization via sequential convex bilevel programming
  • Risk averse elastic shape optimization with parametrized fine scale geometry