Mathematical Programming Computation

Papers
(The median citation count of Mathematical Programming Computation is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Parallel and distributed asynchronous adaptive stochastic gradient methods197
KidneyExchange.jl: a Julia package for solving the kidney exchange problem with branch-and-price129
Solving clustered low-rank semidefinite programs arising from polynomial optimization32
Minimizing total tardiness for the single-machine identical-jobs order scheduling problem with a learning effect19
Efficient MIP techniques for computing the relaxation complexity13
Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization12
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs11
Efficient algorithms for implementing incremental proximal-point methods10
An integrated local-search/set-partitioning refinement heuristic for the Capacitated Vehicle Routing Problem9
A memetic procedure for global multi-objective optimization8
Mixed integer bilevel optimization with a k-optimal follower: a hierarchy of bounds8
Feasibility Jump: an LP-free Lagrangian MIP heuristic8
On technical debt in mathematical programming: An exploratory study7
Local elimination in the traveling salesman problem6
Deterministic global optimization with Gaussian processes embedded6
Enhanced formulation for the Guillotine 2D Cutting Knapsack Problem6
A fix-propagate-repair heuristic for mixed integer programming5
CDOpt: a Python package for a class of Riemannian optimization5
A branch and bound algorithm for robust binary optimization with budget uncertainty5
Adaptive large neighborhood search for mixed integer programming5
Faster exact solution of sparse MaxCut and QUBO problems4
An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems4
Exact methods for discrete $${\varGamma }$$-robust interdiction problems with an application to the bilevel knapsack problem4
Learning to use local cuts4
Integer programming column generation: accelerating branch-and-price using a novel pricing scheme for finding high-quality solutions in set covering, packing, and partitioning problems3
Regularization of limited memory quasi-Newton methods for large-scale nonconvex minimization3
Structure-aware methods for expensive derivative-free nonsmooth composite optimization3
Effective matrix adaptation strategy for noisy derivative-free optimization2
LinA: a faster approach to piecewise linear approximations using corridors and its application to mixed-integer optimization2
Allocation of fungible resources via a fast, scalable price discovery method2
Progressively strengthening and tuning MIP solvers for reoptimization2
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl2
Domain-Driven Solver (DDS) Version 2.1: a MATLAB-based software package for convex optimization problems in domain-driven form2
Correction to: Asynchronous Lagrangian scenario decomposition2
Self-adaptive ADMM for semi-strongly convex problems2
On O(n) algorithms for projection onto the top-k-sum sublevel set2
Solving higher dimensional expensive black box global optimization problems using sparse directional search on surrogates1
On the B-differential of the componentwise minimum of two affine vector functions1
On the generation of metric TSP instances with a large integrality gap by branch-and-cut1
Approximate maximum likelihood estimators for linear regression with independent component-wise design matrix uncertainty1
Nonlinear conjugate gradient for smooth convex functions1
Solving graph partitioning on sparse graphs: cuts, projections, and extended formulations1
The MIP Workshop 2023 Computational Competition on reoptimization1
A data driven Dantzig–Wolfe decomposition framework1
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