Mathematical Programming Computation

Papers
(The median citation count of Mathematical Programming Computation is 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
acados—a modular open-source framework for fast embedded optimal control142
MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library83
JuMP 1.0: recent improvements to a modeling language for mathematical optimization66
Deterministic global optimization with Gaussian processes embedded32
Adaptive large neighborhood search for mixed integer programming12
Political districting to minimize cut edges11
A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs10
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl9
Scalable branching on dual decomposition of stochastic mixed-integer programming problems9
Design and implementation of a modular interior-point solver for linear optimization9
Efficient unconstrained black box optimization9
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs8
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees8
Faster exact solution of sparse MaxCut and QUBO problems8
A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty6
LMBOPT: a limited memory method for bound-constrained optimization6
Incorporating bounds from decision diagrams into integer programming6
Performance enhancements for a generic conic interior point algorithm5
Polytope volume by descent in the face lattice and applications in social choice5
Minotaur: a mixed-integer nonlinear optimization toolkit5
Benders decomposition with adaptive oracles for large scale optimization5
MiniCP: a lightweight solver for constraint programming5
Adaptive primal-dual stochastic gradient method for expectation-constrained convex stochastic programs4
An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems4
A dynamic programming approach for generalized nearly isotonic optimization3
Regularization of limited memory quasi-Newton methods for large-scale nonconvex minimization3
$$\mathtt {Tenscalc}$$: a toolbox to generate fast code to solve nonlinear constrained minimizations and compute Nash equilibria3
A branch and bound algorithm for robust binary optimization with budget uncertainty3
On the generation of metric TSP instances with a large integrality gap by branch-and-cut3
A memetic procedure for global multi-objective optimization3
Feasibility Jump: an LP-free Lagrangian MIP heuristic2
An inexact proximal augmented Lagrangian framework with arbitrary linearly convergent inner solver for composite convex optimization2
PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming2
The MIP Workshop 2023 Computational Competition on reoptimization2
Progressively strengthening and tuning MIP solvers for reoptimization2
An integrated local-search/set-partitioning refinement heuristic for the Capacitated Vehicle Routing Problem2
Computing minimum-volume enclosing ellipsoids2
A penalized method of alternating projections for weighted low-rank hankel matrix optimization2
A data driven Dantzig–Wolfe decomposition framework2
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
Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization2
Dantzig–Wolfe reformulations for binary quadratic problems2
Computational aspects of infeasibility analysis in mixed integer programming2
Self-adaptive ADMM for semi-strongly convex problems2
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