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 2021-02-01 to 2025-02-01.)
ArticleCitations
Design and implementation of a modular interior-point solver for linear optimization166
Parallel and distributed asynchronous adaptive stochastic gradient methods83
Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization32
KidneyExchange.jl: a Julia package for solving the kidney exchange problem with branch-and-price13
Solving clustered low-rank semidefinite programs arising from polynomial optimization12
MiniCP: a lightweight solver for constraint programming11
Minimizing total tardiness for the single-machine identical-jobs order scheduling problem with a learning effect9
An integrated local-search/set-partitioning refinement heuristic for the Capacitated Vehicle Routing Problem9
Efficient MIP techniques for computing the relaxation complexity9
A memetic procedure for global multi-objective optimization9
Exact methods for discrete $${\varGamma }$$-robust interdiction problems with an application to the bilevel knapsack problem8
Mixed integer bilevel optimization with a k-optimal follower: a hierarchy of bounds8
Feasibility Jump: an LP-free Lagrangian MIP heuristic6
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs6
Enhanced formulation for the Guillotine 2D Cutting Knapsack Problem5
A fix-propagate-repair heuristic for mixed integer programming5
A branch and bound algorithm for robust binary optimization with budget uncertainty4
Efficient algorithms for implementing incremental proximal-point methods4
Adaptive large neighborhood search for mixed integer programming4
Local elimination in the traveling salesman problem3
An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems3
On technical debt in mathematical programming: An exploratory study3
Faster exact solution of sparse MaxCut and QUBO problems3
Deterministic global optimization with Gaussian processes embedded3
Structure-aware methods for expensive derivative-free nonsmooth composite optimization3
Solving graph partitioning on sparse graphs: cuts, projections, and extended formulations2
$$\mathtt {Tenscalc}$$: a toolbox to generate fast code to solve nonlinear constrained minimizations and compute Nash equilibria2
Correction to: Asynchronous Lagrangian scenario decomposition2
Effective matrix adaptation strategy for noisy derivative-free optimization2
Approximate maximum likelihood estimators for linear regression with independent component-wise design matrix uncertainty2
Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization2
Regularization of limited memory quasi-Newton methods for large-scale nonconvex minimization2
Self-adaptive ADMM for semi-strongly convex problems2
On the generation of metric TSP instances with a large integrality gap by branch-and-cut2
The MIP Workshop 2023 Computational Competition on reoptimization2
Integer programming column generation: accelerating branch-and-price using a novel pricing scheme for finding high-quality solutions in set covering, packing, and partitioning problems2
Progressively strengthening and tuning MIP solvers for reoptimization2
LinA: a faster approach to piecewise linear approximations using corridors and its application to mixed-integer optimization2
Domain-Driven Solver (DDS) Version 2.1: a MATLAB-based software package for convex optimization problems in domain-driven form1
A data driven Dantzig–Wolfe decomposition framework1
JuMP 1.0: recent improvements to a modeling language for mathematical optimization1
Nonlinear conjugate gradient for smooth convex functions1
Adaptive primal-dual stochastic gradient method for expectation-constrained convex stochastic programs1
Solving higher dimensional expensive black box global optimization problems using sparse directional search on surrogates1
Allocation of fungible resources via a fast, scalable price discovery method1
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl1
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