1.

Record Nr.

UNINA9911031627503321

Autore

Kulkarni Anand J

Titolo

Optimization Methods and Algorithms / / by Anand J. Kulkarni

Pubbl/distr/stampa

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

ISBN

981-9691-94-X

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (176 pages)

Collana

Engineering Series

Disciplina

620

Soggetti

Engineering mathematics

Engineering - Data processing

Mathematical optimization

Computational intelligence

Mathematical and Computational Engineering Applications

Optimization

Computational Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.