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JuMP: A Modeling Language for Mathematical Optimization.

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Title: JuMP: A Modeling Language for Mathematical Optimization.
Authors: Dunning, Iain1 idunning@mit.edu, Huchette, Joey1 huchette@mit.edu, Lubin, Miles1 mlubin@mit.edu
Source: SIAM Review. 2017, Vol. 59 Issue 2, p295-320. 26p.
Subjects: Mathematical optimization, Julia (Computer program language), Visualization
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of SIAM Review is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: JuMP: A Modeling Language for Mathematical Optimization.
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Julia+%28Computer+program+language%29%22">Julia (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of SIAM Review is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1137/15M1020575
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        Text: English
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        PageCount: 26
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      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Julia (Computer program language)
        Type: general
      – SubjectFull: Visualization
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      – TitleFull: JuMP: A Modeling Language for Mathematical Optimization.
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              Text: 2017
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