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# ðŸ“™ Building and Solving Mathematical Programming Models in Engineering and Science by Enrique Castillo, Antonio J. Conejo, Pablo Pedregal, Ricardo GarcÃa, Natalia Alguacil â€” free download

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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

## About book:

## About file:

Security code:

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

- Series:
**Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts** - Author:
**Enrique Castillo, Antonio J. Conejo, Pablo Pedregal, Ricardo GarcÃa, Natalia Alguacil** - Year:
**2001** - Publisher:
**Wiley-Interscience** - Language:
**English** - ISBN:
**0-471-15043-6,9780471150435**

- File size:
**18 050 527** - Format:
**pdf**

Security code:

Review of previous editions'Such a text - and this is the only one of this type I know of - should be the basis of all instruction in Mathematical Programming.' Journal of the Royal Statistical Society'An excellent introduction ... for students of busines...

Like a pianist who practices from a book of Ã©tudes, readers of Programming Projects in C for Students of Engineering, Science, and Mathematics will learn by doing. Written as a tutorial on how to think about, organize, and implement programs in scientifi...

This textbook for students and practitioners presents a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applications in engineering and science, which makes the book ...

Mathematics for Electrical Engineering and Computing embraces many applications of modern mathematics, such as Boolean Algebra and Sets and Functions, and also teaches both discrete and continuous systems - particularly vital for Digital Signal Processin...

Polymer Engineering Science and Viscoelasticity: An Introduction provides a unified mechanics and materials perspective on polymers: both the mathematics of viscoelasticity theory, as well as the physical mechanisms behind polymer deformation processes. W...

Further Mathematics for the Physical Sciences Further Mathematics for the Physical Sciences aims to build upon the reader's knowledge of basic mathematical methods, through a gradual progression to more advanced methods and techniques. Carefully structure...

Peter Kall and JÃ¡nos Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization. Stochastic Linear Programming: Models, Theory, and Computation is a de...

This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via co...

This self-tutorial offers a concise yet thorough introduction into the mathematical analysis of approximation methods for partial differential equation. A particular emphasis is put on finite element methods. The unique approach first summarizes and outli...

Mathematics for Electrical Engineering and Computing embraces many applications of modern mathematics, such as Boolean Algebra and Sets and Functions, and also teaches both discrete and continuous systems - particularly vital for Digital Signal Processing...