Fundamentals of optimization techniques with algorithms
Sukanta Nayak
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.
- No. Panggil 519.6 NAY f
- Edisi
- Pengarang Sukanta Nayak
- Penerbit London Academic Press 2020
