JuMP: A Modeling Language for Mathematical Optimization 论文

2017SIAM Review引用 1218
Advanced Optimization Algorithms ResearchParallel Computing and Optimization TechniquesConstraint Satisfaction and Optimization

详细信息

发表期刊/会议
SIAM Review
发表日期
2017-01-01
发表年份
2017

关键词

Advanced Optimization Algorithms ResearchParallel Computing and Optimization TechniquesConstraint Satisfaction and Optimization

摘要

JuMP is an open-source modeling language that allows users to express a wide range of optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and nonlinear) in a high-level, algebraic syntax. JuMP takes advantage of advanced features of the Julia programming language to offer unique functionality while achieving performance on par with commercial modeling tools for standard tasks. In this work we will provide benchmarks, present the novel aspects of the implementation, and discuss how JuMP can be extended to new problem classes and composed with state-of-the-art tools for visualization and interactivity.

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