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.