Optimization Methods and Algorithms / by Anand J. Kulkarni.

Format:

Book

Author/Creator:

Kulkarni, Anand J.

Series:

Engineering Series

Language:

English

Subjects (All):

Engineering mathematics.

Engineering--Data processing.

Engineering.

Mathematical optimization.

Computational intelligence.

Mathematical and Computational Engineering Applications.

Optimization.

Computational Intelligence.

Local Subjects:

Mathematical and Computational Engineering Applications.

Optimization.

Computational Intelligence.

Physical Description:

1 online resource (176 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

The book thoroughly explains fundamental optimization concepts and terminology, including variables, parameters, constraints, bounds, and convexity. It also demonstrates how to formulate optimization problems using illustrative examples. Covering both single-variable and multi-variable optimization methods, the book provides theoretical insights, practical examples, and exercises, along with a graphical approach to problem-solving. In light of growing concerns about resource limitations and environmental impacts, this textbook addresses the need for efficient resource use amidst technological advancements and market competition. Students will appreciate the comprehensive coverage, supported by illustrations and exercises that deepen their understanding. Instructors will find it invaluable for classroom teaching, with accessible concepts and practical examples that highlight the nuances of optimization.

Contents:

Chapter 1 Introduction to Optimization

Chapter 2 Single Variable Optimization Methods

Chapter 3 Multi Variable Optimization Methods

Chapter 4 Graphical Optimization

Chapter 5 Linear Programming Methods

Chapter 6 Nature inspired Optimization Methods.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9691-94-X

9789819691944

OCLC:

1549520399