MP - 2022 - volume 191 论文列表 |
| 点击这里查看 Mathematical Programming 的JCR分区、影响因子等信息 |
Volume 191, Number 2, February 2022
Quoc Tran-Dinh Nhan H. Pham Dzung T. Phan Lam M. Nguyen
Sparse PSD approximation of the PSD cone.
Grigoriy Blekherman Santanu S. Dey Marco Molinaro Shengding Sun
General bounds for incremental maximization.Aaron Bernstein Yann Disser Martin Groß Sandra Himburg
Optimal sampled-data controls with running inequality state constraints: Pontryagin maximum principle and bouncing trajectory phenomenon. A stability result for linear Markovian stochastic optimization problems. Performance guarantees of local search for minsum scheduling problems.José R. Correa Felipe T. Muñoz
An optimal monotone contention resolution scheme for bipartite matchings via a polyhedral viewpoint.Simon Bruggmann Rico Zenklusen
Stochastic Lipschitz dynamic programming.Shabbir Ahmed Filipe Goulart Cabral Bernardo Freitas Paulo da Costa
Complexity of stochastic dual dynamic programming. Accelerating variance-reduced stochastic gradient methods.Derek Driggs Matthias J. Ehrhardt Carola-Bibiane Schönlieb
Projective splitting with forward steps.Patrick R. Johnstone Jonathan Eckstein
Convex graph invariant relaxations for graph edit distance.Utkan Onur Candogan Venkat Chandrasekaran
New limits of treewidth-based tractability in optimization.Yuri Faenza Gonzalo Muñoz Sebastian Pokutta
Complete positivity and distance-avoiding sets.Evan DeCorte Fernando Mário de Oliveira Filho Frank Vallentin
The generalized trust region subproblem: solution complexity and convex hull results.Volume 191, Number 1, January 2022
Andrea Lodi Enrico Malaguti Giacomo Nannicini Dimitri Thomopulos
A binary decision diagram based algorithm for solving a class of binary two-stage stochastic programs. Two-stage linear decision rules for multi-stage stochastic programming. On rates of convergence for sample average approximations in the almost sure sense and in mean.Dirk Banholzer Jörg Fliege Ralf Werner
Asymptotic behavior of solutions: An application to stochastic NLP. Risk and complexity in scenario optimization. Scenario reduction revisited: fundamental limits and guarantees.Napat Rujeerapaiboon Kilian Schindler Daniel Kuhn Wolfram Wiesemann
Problem-based optimal scenario generation and reduction in stochastic programming. Problem-driven scenario generation: an analytical approach for stochastic programs with tail risk measure.Jamie Fairbrother Amanda Turner Stein W. Wallace
Process-based risk measures and risk-averse control of discrete-time systems.Jingnan Fan Andrzej Ruszczynski
Optimized Bonferroni approximations of distributionally robust joint chance constraints.Weijun Xie Shabbir Ahmed Ruiwei Jiang
Quantitative stability analysis for minimax distributionally robust risk optimization. Two-stage stochastic programming under multivariate risk constraints with an application to humanitarian relief network design. Special Issue: Topics in Stochastic Programming.