Fundamentals of Optimization Techniques with Algorithms
eBook - ePub

Fundamentals of Optimization Techniques with Algorithms

  1. 320 pages
  2. English
  3. ePUB (mobile friendly)
  4. 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.

Table of contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. List of Illustrations
  10. List of Tables
  11. Chapter one : Introduction to optimization
  12. Chapter two : Linear programming
  13. Chapter three : Single-variable nonlinear optimization
  14. Chapter four : Multivariable unconstrained nonlinear optimization
  15. Chapter five : Multivariable constrained nonlinear optimization
  16. Chapter six : Geometric programming
  17. Chapter seven : Dynamic programming
  18. Chapter eight : Integer programming
  19. Chapter nine : Multiobjective optimization
  20. Chapter ten : Nature-inspired optimization
  21. Index
  22. A