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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

  • Online k-taxi via Double Coverage and time-reverse primal-dual
  • A proximal trust-region method for nonsmooth optimization with inexact function and gradient evaluations
  • Node connectivity augmentation via iterative randomized rounding
  • Affinely representable lattices, stable matchings, and choice functions
  • Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates
  • Recognizing even-cycle and even-cut matroids
  • Solving sparse principal component analysis with global support
  • Near-linear convergence of the Random Osborne algorithm for Matrix Balancing
  • The double exponential runtime is tight for 2-stage stochastic ILPs
  • Robust k-center with two types of radii