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ROPI—a robust optimization programming interface for C++.

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Title: ROPI—a robust optimization programming interface for C++.
Authors: Goerigk, Marc1 (AUTHOR) goerigk@mathematik.uni-kl.de
Source: Optimization Methods & Software. Nov2014, Vol. 29 Issue 6, p1261-1280. 20p.
Subjects: Robust convex optimization, Computer programming, Computer interfaces, C++, Algorithms, Computer software
Abstract: Robust optimization aims at pushing optimization techniques to practical applicability by including data uncertainty. Thus, it is crucial to collect algorithms and concepts for robust optimization, and to make them publicly available while being easy-to-use for the practitioner without working deeply into the theoretical background. With ROPI, a robust optimization programming interface for C++, we try to commit to this process. This paper gives an overview on current approaches to robust optimization, outlines the basic properties and functionalities of ROPI, and discusses the differences to other available libraries. [ABSTRACT FROM AUTHOR]
Copyright of Optimization Methods & Software is the property of Taylor & Francis Ltd 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.)
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  Data: Robust optimization aims at pushing optimization techniques to practical applicability by including data uncertainty. Thus, it is crucial to collect algorithms and concepts for robust optimization, and to make them publicly available while being easy-to-use for the practitioner without working deeply into the theoretical background. With ROPI, a robust optimization programming interface for C++, we try to commit to this process. This paper gives an overview on current approaches to robust optimization, outlines the basic properties and functionalities of ROPI, and discusses the differences to other available libraries. [ABSTRACT FROM AUTHOR]
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  Group: Ab
  Data: <i>Copyright of Optimization Methods & Software is the property of Taylor & Francis Ltd 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: 10.1080/10556788.2013.869807
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        Text: English
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      – SubjectFull: Computer interfaces
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      – SubjectFull: Algorithms
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              Text: Nov2014
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