Building and Solving Mathematical Programming Models in Engineering and Science / Wiley Series in Pure and Applied Mathematics (PDF)
(Sprache: Englisch)
Fundamental concepts of mathematical modeling
Modeling is one of the most effective, commonly used tools in
engineering and the applied sciences. In this book, the authors
deal with mathematical programming models both linear and nonlinear
and across...
Modeling is one of the most effective, commonly used tools in
engineering and the applied sciences. In this book, the authors
deal with mathematical programming models both linear and nonlinear
and across...
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Produktinformationen zu „Building and Solving Mathematical Programming Models in Engineering and Science / Wiley Series in Pure and Applied Mathematics (PDF)“
Fundamental concepts of mathematical modeling
Modeling is one of the most effective, commonly used tools in
engineering and the applied sciences. In this book, the authors
deal with mathematical programming models both linear and nonlinear
and across a wide range of practical applications.
Whereas other books concentrate on standard methods of analysis,
the authors focus on the power of modeling methods for solving
practical problems-clearly showing the connection between physical
and mathematical realities-while also describing and exploring the
main concepts and tools at work. This highly computational coverage
includes:
* Discussion and implementation of the GAMS programming
system
* Unique coverage of compatibility
* Illustrative examples that showcase the connection between model
and reality
* Practical problems covering a wide range of scientific
disciplines, as well as hundreds of examples and end-of-chapter
exercises
* Real-world applications to probability and statistics, electrical
engineering, transportation systems, and more
Building and Solving Mathematical Programming Models in Engineering
and Science is practically suited for use as a professional
reference for mathematicians, engineers, and applied or industrial
scientists, while also tutorial and illustrative enough for
advanced students in mathematics or engineering.
Modeling is one of the most effective, commonly used tools in
engineering and the applied sciences. In this book, the authors
deal with mathematical programming models both linear and nonlinear
and across a wide range of practical applications.
Whereas other books concentrate on standard methods of analysis,
the authors focus on the power of modeling methods for solving
practical problems-clearly showing the connection between physical
and mathematical realities-while also describing and exploring the
main concepts and tools at work. This highly computational coverage
includes:
* Discussion and implementation of the GAMS programming
system
* Unique coverage of compatibility
* Illustrative examples that showcase the connection between model
and reality
* Practical problems covering a wide range of scientific
disciplines, as well as hundreds of examples and end-of-chapter
exercises
* Real-world applications to probability and statistics, electrical
engineering, transportation systems, and more
Building and Solving Mathematical Programming Models in Engineering
and Science is practically suited for use as a professional
reference for mathematicians, engineers, and applied or industrial
scientists, while also tutorial and illustrative enough for
advanced students in mathematics or engineering.
Autoren-Porträt von Enrique Castillo, Antonio J. Conejo, Pablo Pedregal, Ricardo García, Natalia Alguacil
ENRIQUE CASTILLO, PhD, is Full Professor of AppliedMathematics at the University of Cantabria in Santander, Spain.
ANTONIO J. CONEJO, PhD, is Full Professor of Electrical
Engineering at the Universidad de Castilla La Mancha, Ciudad Real,
Spain.
PABLO PEDREGAL, PhD, is Full Professor of Applied
Mathematics at the University of Cantabria.
RICARDO GARCIA is a mathematician in the fields of
optimization and operation research.
NATALIA ALGUACIL, PhD, researches optimization by
decomposition techniques.
Bibliographische Angaben
- Autoren: Enrique Castillo , Antonio J. Conejo , Pablo Pedregal , Ricardo García , Natalia Alguacil
- 2011, 1. Auflage, 568 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0471461652
- ISBN-13: 9780471461654
- Erscheinungsdatum: 24.10.2011
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 18 MB
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Sprache:
Englisch
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