Optimization Methods and Algorithms / / by Anand J. Kulkarni

• Autore: Kulkarni Anand J
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (176 pages)
• Disciplina: 620
• Soggetto topico: Engineering mathematics; Engineering - Data processing; Mathematical optimization; Computational intelligence; Mathematical and Computational Engineering Applications; Optimization; Computational Intelligence
• 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.
• Titolo autorizzato: Optimization Methods and Algorithms
• ISBN: 981-9691-94-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911031627503321
• Lo trovi qui: Univ. Federico II
• Serie: Engineering Series