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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

  • A note on the selection of Benders' cuts
  • Copositive programming motivated bounds on the stability and the chromatic numbers
  • A generalization of column generation to accelerate convergence
  • Global minimization using an Augmented Lagrangian method with variable lower-level constraints
  • Robust stochastic dominance and its application to risk-averse optimization
  • A note on an approximate lagrange multiplier rule
  • Efficient and fair routing for mesh networks
  • Index minimization of differential-algebraic equations in hybrid analysis for circuit simulation
  • Stabilized sequential quadratic programming for optimization and a stabilized Newton-type method for variational problems
  • Newton's method for generalized equations: a sequential implicit function theorem