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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

  • Optimal control of infinite dimensional bilinear systems: application to the heat and wave equations
  • Strong duality and KKT conditions in nonconvex optimization with a single equality constraint and geometric constraint
  • Approximations and generalized Newton methods
  • Critical solutions of nonlinear equations: local attraction for Newton-type methods
  • Chain-constrained spanning trees
  • Completely positive semidefinite rank
  • Optimal estimation of sensor biases for asynchronous multi-sensor data fusion
  • Bilevel programming for generating discrete representations in multiobjective optimization
  • Minimization of transformed penalty: theory, difference of convex function algorithm, and robust application in compressed sensing
  • Variational analysis of convexly generated spectral max functions