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Mathematical Programming, Volume 178
Volume 178, Numbers 1-2, November 2019
- Jiawang Nie:
Tight relaxations for polynomial optimization and Lagrange multiplier expressions. 1-37 - Amir Beck, Nadav Hallak
:
Optimization problems involving group sparsity terms. 39-67 - Hongcheng Liu, Xue Wang, Tao Yao
Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming. 69-108 - Stefania Bellavia, Jacek Gondzio
An inexact dual logarithmic barrier method for solving sparse semidefinite programs. 109-143 - Tianxiao Sun, Quoc Tran-Dinh
Generalized self-concordant functions: a recipe for Newton-type methods. 145-213 - Huikang Liu, Anthony Man-Cho So
Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods. 215-262 - Gabriel Haeser
Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary. 263-299 - Sebastian Banert
A general double-proximal gradient algorithm for d.c. programming. 301-326 - Yossi Arjevani, Ohad Shamir, Ron Shiff
Oracle complexity of second-order methods for smooth convex optimization. 327-360 - Michele Conforti, Laurence A. Wolsey
"Facet" separation with one linear program. 361-380 - Ying Cui
On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming. 381-415 - Jinhak Kim
On cutting planes for cardinality-constrained linear programs. 417-448 - Martin Schmidt
A decomposition method for MINLPs with Lipschitz continuous nonlinearities. 449-483 - Satoru Fujishige
Submodular optimization views on the random assignment problem. 485-501 - Dmitriy Drusvyatskiy
Efficiency of minimizing compositions of convex functions and smooth maps. 503-558
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