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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

  • Improved semidefinite bounding procedure for solving Max-Cut problems to optimality
  • MM algorithms for geometric and signomial programming
  • The Hirsch Conjecture for the fractional stable set polytope
  • A geometric characterization of strong duality in nonconvex quadratic programming with linear and nonconvex quadratic constraints
  • Risk-averse dynamic programming for Markov decision processes (vol 125, pg 235, 2010)
  • Strongly regular nonsmooth generalized equations
  • Decomposition algorithms with parametric Gomory cuts for two-stage stochastic integer programs
  • Guaranteed clustering and biclustering via semidefinite programming
  • Geometric measures of convex sets and bounds on problem sensitivity and robustness for conic linear optimization
  • On matching cover of graphs