
- 320 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Fundamentals of Optimization Techniques with Algorithms
About this book
Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice.
- Presents optimization techniques clearly, including worked-out examples, from traditional to advanced
- Maps out the relations between optimization and other mathematical topics and disciplines
- Provides systematic coverage of algorithms to facilitate computer coding
- Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design
- Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks
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Yes, you can access Fundamentals of Optimization Techniques with Algorithms by Sukanta Nayak in PDF and/or ePUB format, as well as other popular books in Technik & Maschinenbau & Maschinenbau Allgemein. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Title page
- Table of Contents
- Copyright
- Dedication
- Contents
- Preface
- Acknowledgments
- List of Illustrations
- List of Tables
- Chapter one : Introduction to optimization
- Chapter two : Linear programming
- Chapter three : Single-variable nonlinear optimization
- Chapter four : Multivariable unconstrained nonlinear optimization
- Chapter five : Multivariable constrained nonlinear optimization
- Chapter six : Geometric programming
- Chapter seven : Dynamic programming
- Chapter eight : Integer programming
- Chapter nine : Multiobjective optimization
- Chapter ten : Nature-inspired optimization
- Index
- A