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 2022-08-01 to 2026-08-01.)
ArticleCitations
Clarabel: An interior-point solver for conic programs with quadratic objectives333
Detecting and handling reflection symmetries in mixed-integer (nonlinear) programming and beyond36
Exact methods for discrete $${\varGamma }$$-robust interdiction problems with an application to the bilevel knapsack problem29
Learning to use local cuts25
Accelerated nested proximal gradient algorithm for structured sparse optimization with capped-$$\ell _1$$ penalty25
Mixed integer bilevel optimization with a k-optimal follower: a hierarchy of bounds18
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints15
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
On technical debt in mathematical programming: An exploratory study15
Efficient Implementation of Third-order Tensor Methods with Adaptive Regularization for Unconstrained Optimization14
Domain-Driven Solver (DDS) Version 2.1: a MATLAB-based software package for convex optimization problems in domain-driven form12
Regularized step directions in nonlinear conjugate gradient methods11
PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming11
Computing minimum-volume enclosing ellipsoids9
A penalty-free method with nonmonotone line search for nonlinear optimization9
Parallel and distributed asynchronous adaptive stochastic gradient methods8
Multiparent path relinking. An application to the power dominating set problem8
Tighter yet more tractable relaxations and nontrivial instance generation for sparse standard quadratic optimization8
Structure-aware methods for expensive derivative-free nonsmooth composite optimization7
Progressively strengthening and tuning MIP solvers for reoptimization7
Stronger cuts for Benders’ decomposition for stochastic Unit Commitment Problems based on interval variables7
On the generation of metric TSP instances with a large integrality gap by branch-and-cut6
QOCO: a quadratic objective conic optimizer with custom solver generation6
The smoothed duality gap as a stopping criterion6
Graph-Based modeling and decomposition of hierarchical optimization problems5
Nonlinear conjugate gradient for smooth convex functions5
RiNNAL+: a Riemannian ALM Solver for SDP-RLT Relaxations of Mixed-Binary Quadratic Programs5
Adaptive sieving: a dimension reduction technique for sparse optimization problems5
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python4
A fix-propagate-repair heuristic for mixed integer programming4
Convex mixed-integer optimization with Frank–Wolfe methods4
PDLP: a practical first-order method for large-scale linear programming4
Application of the Lovász-Schrijver Operator to Compact Stable Set Integer Programs4
Feasibility Jump: an LP-free Lagrangian MIP heuristic4
Instance-specific linear relaxations of semidefinite optimization problems4
A hierarchy of spectral relaxations for polynomial optimization4
A novel linear optimization presolve technique based on Fourier-Motzkin elimination4
A preconditioned interior point method for support vector machines using an ANOVA decomposition and NFFT-based matrix–vector products3
Sparse quadratically constrained quadratic programming via semismooth newton method3
Approximate maximum likelihood estimators for linear regression with independent component-wise design matrix uncertainty3
CDOpt: a Python package for a class of Riemannian optimization3
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl2
Interior Point Methods for Structured Quantum Relative Entropy Optimization Problems2
Improving the solution of indefinite quadratic programs and linear programs with complementarity constraints by a progressive MIP method2
On O(n) algorithms for projection onto the top-k-sum sublevel set2
A new computational framework for log-concave density estimation2
A dynamic programming approach for generalized nearly isotonic optimization2
A computational study of perspective cuts2
Accurate linear cutting-plane relaxations for ACOPF2
HPR-LP: An implementation of an HPR method for solving linear programming2
libDIPS – discretization-based semi-infinite and bilevel programming solvers1
CP-Lib: Benchmark Instances of the Clique Partitioning Problem1
A general cut-generating strategy for the caterpillar-packing polytope1
Effective matrix adaptation strategy for noisy derivative-free optimization1
Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization1
A data driven Dantzig–Wolfe decomposition framework1
Faster exact solution of sparse MaxCut and QUBO problems1
K-shortest simple paths using biobjective path search1
PDFO: a cross-platform package for Powell’s derivative-free optimization solvers1
An adaptive relaxation-refinement scheme for multi-objective mixed-integer nonconvex optimization1
Self-adaptive ADMM for semi-strongly convex problems1
Efficient algorithms for implementing incremental proximal-point methods1
Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing1
Performance enhancements for a generic conic interior point algorithm1
A numerical study of transformed mixed-integer optimal control problems1
JuMP 1.0: recent improvements to a modeling language for mathematical optimization1
Minimizing total tardiness for the single-machine identical-jobs order scheduling problem with a learning effect1
Globally solving concave quadratic programs via doubly nonnegative relaxation1
Optimal design of resolvent splitting algorithms1
Efficient MIP techniques for computing the relaxation complexity1
Solving the market split problem with lattice enumeration1
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