Mathematical Programming View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1971

PUBLISHER

Springer Berlin Heidelberg

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/10107

Recent publications latest 20 shown

  • 2019-04-09 Compact representation of near-optimal integer programming solutions
  • 2019-04-02 Packing of arborescences with matroid constraints via matroid intersection
  • 2019-04-02 Distances to lattice points in knapsack polyhedra
  • 2019-03-28 Robust multicategory support matrix machines
  • 2019-03-27 Martingale characterizations of risk-averse stochastic optimization problems
  • 2019-03-25 Goal scoring, coherent loss and applications to machine learning
  • 2019-03-22 The multiproximal linearization method for convex composite problems
  • 2019-03-19 Lattice closures of polyhedra
  • 2019-03-19 An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization
  • 2019-03-16 A tractable approach for designing piecewise affine policies in two-stage adjustable robust optimization
  • 2019-03-15 Stochastic packing integer programs with few queries
  • 2019-03-08 On the cost of solving augmented Lagrangian subproblems
  • 2019-03-08 Dimension reduction for semidefinite programs via Jordan algebras
  • 2019-03-06 Stationarity conditions and constraint qualifications for mathematical programs with switching constraints
  • 2019-03-02 Computation of the maximum likelihood estimator in low-rank factor analysis
  • 2019-03 Solving monotone stochastic variational inequalities and complementarity problems by progressive hedging
  • 2019-03 Correction to: On the pervasiveness of difference-convexity in optimization and statistics
  • 2019-03 Subdifferential characterization of probability functions under Gaussian distribution
  • 2019-03 Concave regression: value-constrained estimation and likelihood ratio-based inference
  • 2019-03 A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo–Tseng error bound property
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