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Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 27 de febrero de 2001
2008. 1st Edition. Paperback. A self-contained introduction to linear programming using MATLAB(R) software. Series: MPS-SIAM Series on Optimization. Num Pages: 280 pages, Illustrations. BIC Classification: PBU; UF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 175 x 16. Weight in Grams: 496. . . . . . N° de ref. del artículo V9780898716436
A self-contained introduction to linear programming using MATLAB® software.
Acerca de los autores:
Michael C. Ferris is a Professor in the Computer Sciences Department at the University of Wisconsin-Madison.
Olvi L. Mangasarian is John von Neumann Professor Emeritus of Mathematics and Computer Sciences at the University of Wisconsin-Madison.
Stephen J. Wright is a Professor in the Computer Sciences Department at the University of Wisconsin-Madison.
Título: Linear Programming with MATLAB
Editorial: Society for Industrial & Applied Mathematics,U.S.
Año de publicación: 2008
Encuadernación: Encuadernación de tapa blanda
Condición: New
Edición: 1ª Edición
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
paperback. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Nº de ref. del artículo: 000877380U
Cantidad disponible: 4 disponibles
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
paperback. Condición: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Nº de ref. del artículo: 000877380N
Cantidad disponible: 13 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. This textbook provides a self-contained introduction to linear programming using MATLAB (R) software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point methods, and selected applications of linear programming to approximation and classification problems. Exercises are interwoven with the theory presented in each chapter, and two appendices provide additional information on linear algebra, convexity, nonlinear functions, and on available MATLAB commands, respectively. Readers can access MATLAB codes and associated mex files at a Web site maintained by the authors. Only a basic knowledge of linear algebra and calculus is required to understand this textbook, which is geared toward junior and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming. A self-contained introduction to linear programming using MATLAB (R) software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780898716436
Cantidad disponible: 1 disponibles
Librería: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condición: new. Paperback. This textbook provides a self-contained introduction to linear programming using MATLAB (R) software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point methods, and selected applications of linear programming to approximation and classification problems. Exercises are interwoven with the theory presented in each chapter, and two appendices provide additional information on linear algebra, convexity, nonlinear functions, and on available MATLAB commands, respectively. Readers can access MATLAB codes and associated mex files at a Web site maintained by the authors. Only a basic knowledge of linear algebra and calculus is required to understand this textbook, which is geared toward junior and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming. A self-contained introduction to linear programming using MATLAB (R) software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780898716436
Cantidad disponible: 1 disponibles