Fundamentals of Optimization Techniques with Algorithms

Fundamentals of Optimization Techniques with Algorithms
  • eBook:
    Fundamentals of Optimization Techniques with Algorithms
  • Author:
    Sukanta Nayak
  • Edition:
    1 edition
  • Categories:
  • Data:
    September 8, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    320 pages
  • Format:
    PDF, ePUB

Book Description
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.


1. Introduction to optimization
2. Linear programming
3. Single-variable nonlinear optimization
4. Multivariable unconstrained nonlinear optimization
5. Multivariable constrained nonlinear optimization
6. Geometric programming
7. Dynamic programming
8. Integer programming
9. Multiobjective optimization
10. Nature-inspired optimization

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