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...

Descripción completa

Detalles Bibliográficos
Otros Autores: Kwon, Roy H., eauthor (eauthor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis 2013.
Edición:1st edition
Colección:Operations research series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009671494306719
Descripción
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.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (356 p.)
Bibliografía:Includes bibliographical references.
ISBN:9780429169458
9781482204346
9781439862636