Copertina

MindOpt Adapter for CPLEX Benchmarking Performance Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sun, Mou, Li, Tao, Yin, Wotao
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Mathematical Software Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Progressive Bound Strengthening via Doubly Nonnegative Cutting Planes for Nonconvex Quadratic Programs
di: Qu, Zheng, et al.
Pubblicazione: (2025)

JAX-SSO: Differentiable Finite Element Analysis Solver for Structural Optimization and Seamless Integration with Neural Networks
di: Wu, Gaoyuan
Pubblicazione: (2024)

Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs
di: Sun, Kaizhao, et al.
Pubblicazione: (2021)

Designing a Framework for Solving Multiobjective Simulation Optimization Problems
di: Chang, Tyler H., et al.
Pubblicazione: (2023)

Improved algorithms and novel applications of the FrankWolfe.jl library
di: Besançon, Mathieu, et al.
Pubblicazione: (2025)

A Unified and Scalable Method for Optimization over Graphs of Convex Sets
di: Marcucci, Tobia
Pubblicazione: (2025)

Cardinal Optimizer (COPT) User Guide
di: Ge, Dongdong, et al.
Pubblicazione: (2022)

An efficient active-set method with applications to sparse approximations and risk minimization
di: Pougkakiotis, Spyridon, et al.
Pubblicazione: (2024)

A Practical GPU-Enhanced Matrix-Free Primal-Dual Method for Large-Scale Conic Programs
di: Lin, Zhenwei, et al.
Pubblicazione: (2025)

Solving the Convex Flow Problem
di: Diamandis, Theo, et al.
Pubblicazione: (2024)

A Unified Funnel Restoration SQP Algorithm
di: Kiessling, David, et al.
Pubblicazione: (2024)

Optimistix: modular optimisation in JAX and Equinox
di: Rader, Jason, et al.
Pubblicazione: (2024)

A Modular Approach to Stochastic Optimisation for Inverse Problems Using the Core Imaging Library
di: Papoutsellis, Evangelos, et al.
Pubblicazione: (2026)

optHIM: Hybrid Iterative Methods for Continuous Optimization in PyTorch
di: Sridhar, Nikhil, et al.
Pubblicazione: (2025)

On a probabilistic global optimizer derived from the Walker slice sampling
di: Gupta, Aditya, et al.
Pubblicazione: (2024)

CDOpt: A Python Package for a Class of Riemannian Optimization
di: Xiao, Nachuan, et al.
Pubblicazione: (2022)

GlycoPy: A CasADi-based Python Framework for Hierarchical Modeling, Optimization, and Control of Bioprocesses
di: Ma, Yingjie, et al.
Pubblicazione: (2026)

A New Challenging Curve Fitting Benchmark Test Set for Global Optimization
di: Cheng, Peicong, et al.
Pubblicazione: (2023)

Learning to Optimize by Differentiable Programming
di: Tao, Liping, et al.
Pubblicazione: (2026)

An efficient optimization model and tabu search-based global optimization approach for continuous p-dispersion problem
di: Lai, Xiangjing, et al.
Pubblicazione: (2024)

ZETA: a library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systems
di: Rego, Brenner S., et al.
Pubblicazione: (2025)

Endpoint-Explicit Differential Dynamic Programming via Exact Resolution
di: Parilli, Maria, et al.
Pubblicazione: (2025)

An Efficient Framework for Global Non-Convex Polynomial Optimization over the Hypercube
di: Letourneau, Pierre-David, et al.
Pubblicazione: (2023)

An Efficient Framework for Global Non-Convex Polynomial Optimization with Algebraic Constraints
di: Harris, Mitchell Tong, et al.
Pubblicazione: (2023)

Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices
di: Parshakova, Tetiana, et al.
Pubblicazione: (2023)

Smoothing Methods for Automatic Differentiation Across Conditional Branches
di: Kreikemeyer, Justin N., et al.
Pubblicazione: (2023)

Disciplined Saddle Programming
di: Schiele, Philipp, et al.
Pubblicazione: (2023)

Efficient Implementation of Interior-Point Methods for Quantum Relative Entropy
di: Karimi, Mehdi, et al.
Pubblicazione: (2023)

El0ps: An Exact L0-regularized Problems Solver
di: Guyard, Théo, et al.
Pubblicazione: (2025)

Provably Optimal Quantum Circuits with Mixed-Integer Programming
di: Nagarajan, Harsha, et al.
Pubblicazione: (2025)

LIBOPT - An environment for testing solvers on heterogeneous collections of problems - Version 1.0
di: Gilbert, Jean Charles, et al.
Pubblicazione: (2007)

Optimizing Optimizations, Declaratively: Optimizing the Higher-Order Functions in Mathematical Optimization with egglog
di: Ishii, Hiromi
Pubblicazione: (2026)

Algorithms for Nonlinear Mixed-Integer Location Estimation
di: Uziel, Ophir, et al.
Pubblicazione: (2025)

tvopt: A Python Framework for Time-Varying Optimization
di: Bastianello, Nicola
Pubblicazione: (2020)

Parallel Redundancy Removal in lrslib with Application to Projections
di: Avis, David, et al.
Pubblicazione: (2024)

Introducing Moment: A toolkit for semi-definite programming with moment matrices
di: Garner, Andrew J. P., et al.
Pubblicazione: (2024)

Multilevel Stochastic Gradient Descent for Optimal Control Under Uncertainty
di: Baumgarten, Niklas, et al.
Pubblicazione: (2025)

High-dimensional multidisciplinary design optimization for aircraft eco-design / Optimisation multi-disciplinaire en grande dimension pour l'éco-conception avion en avant-projet
di: Saves, Paul
Pubblicazione: (2024)

TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets
di: Biguri, Ander, et al.
Pubblicazione: (2024)

Holistic Generalized Linear Models
di: Schwendinger, Benjamin, et al.
Pubblicazione: (2022)