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 2021-06-01 to 2025-06-01.)
ArticleCitations
Mixed integer bilevel optimization with a k-optimal follower: a hierarchy of bounds210
On technical debt in mathematical programming: An exploratory study145
Learning to use local cuts34
Exact methods for discrete $${\varGamma }$$-robust interdiction problems with an application to the bilevel knapsack problem20
Integer programming column generation: accelerating branch-and-price using a novel pricing scheme for finding high-quality solutions in set covering, packing, and partitioning problems15
An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems15
Domain-Driven Solver (DDS) Version 2.1: a MATLAB-based software package for convex optimization problems in domain-driven form14
Optimal patchings for consecutive ones matrices13
Regularized step directions in nonlinear conjugate gradient methods11
PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming10
Computing minimum-volume enclosing ellipsoids10
LMBOPT: a limited memory method for bound-constrained optimization9
An integrated local-search/set-partitioning refinement heuristic for the Capacitated Vehicle Routing Problem8
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs8
Parallel and distributed asynchronous adaptive stochastic gradient methods8
Multiparent path relinking. An application to the power dominating set problem7
Correction to: Asynchronous Lagrangian scenario decomposition6
Structure-aware methods for expensive derivative-free nonsmooth composite optimization6
Progressively strengthening and tuning MIP solvers for reoptimization6
On the generation of metric TSP instances with a large integrality gap by branch-and-cut5
The smoothed duality gap as a stopping criterion5
Adaptive sieving: a dimension reduction technique for sparse optimization problems5
Nonlinear conjugate gradient for smooth convex functions5
Instance-specific linear relaxations of semidefinite optimization problems4
A hierarchy of spectral relaxations for polynomial optimization4
A fix-propagate-repair heuristic for mixed integer programming4
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python4
On O(n) algorithms for projection onto the top-k-sum sublevel set3
CDOpt: a Python package for a class of Riemannian optimization3
Approximate maximum likelihood estimators for linear regression with independent component-wise design matrix uncertainty3
Feasibility Jump: an LP-free Lagrangian MIP heuristic3
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl3
A dynamic programming approach for generalized nearly isotonic optimization2
Efficient MIP techniques for computing the relaxation complexity2
A new computational framework for log-concave density estimation2
Political districting to minimize cut edges2
Efficient algorithms for implementing incremental proximal-point methods2
A computational study of perspective cuts2
Adaptive primal-dual stochastic gradient method for expectation-constrained convex stochastic programs2
Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization2
Enhanced formulation for the Guillotine 2D Cutting Knapsack Problem1
A data driven Dantzig–Wolfe decomposition framework1
Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization1
Effective matrix adaptation strategy for noisy derivative-free optimization1
Allocation of fungible resources via a fast, scalable price discovery method1
JuMP 1.0: recent improvements to a modeling language for mathematical optimization1
Self-adaptive ADMM for semi-strongly convex problems1
Faster exact solution of sparse MaxCut and QUBO problems1
Globally solving concave quadratic programs via doubly nonnegative relaxation1
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