Linear and Nonlinear Optimization

Optimization is the backbone of every system that involves decision-making and optimal
strategies. It plays an important role and influences our life directly or indirectly which cannot
be avoided or neglected. Optimization is a key concept not only in mathematics, computer
science, and operations research, and but also is essential to the modelling of any system,
playing an integral role in computer-aided design. In recent years, optimization techniques
become a considerable part of each system and applicable in a wide spectrum of industries viz.
aerospace, chemical, electrical, electronics, mining, mechanical, information technology,
finance, and e-commerce sectors. Therefore, the very need is to easy understanding of the
problem and implementation of optimization techniques with advanced computer added design
activity.

The book “Fundamentals of Optimization Techniques With Algorithms” (Book Link:
https://tinyurl.com/7dtfc969) presents a complete package of various traditional and advanced
optimization techniques along with a variety of example problems, algorithms, and
MATLAB© codes, 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. To help the reader for applying
optimization techniques in practice, the book includes detailed program codes and computer-
aided designs concerning 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.