Introduction to linear optimization and extensions with MATLAB®
Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition...
Otros Autores: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Boca Raton, FL :
CRC Press, an imprint of Taylor and Francis
2013.
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Edición: | 1st edition |
Colección: | Operations research series.
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Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009671494306719 |
Sumario: | Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current linear optimization technologies such as predictor-path following interior point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty id est stochastic programming with recourse and robust optimization. |
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Notas: | Description based upon print version of record. |
Descripción Física: | 1 online resource (356 p.) |
Bibliografía: | Includes bibliographical references. |
ISBN: | 9780429169458 9781482204346 9781439862636 |