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Optimization methods and algorithms

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization methods and algorithms/ by Anand J. Kulkarni.
作者:	Kulkarni, Anand Jayant.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiii, 118 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-981-96-9194-4
ISBN:	9789819691944

Optimization methods and algorithms
Kulkarni, Anand Jayant.

Optimization methods and algorithms[electronic resource] /by Anand J. Kulkarni. - Singapore :Springer Nature Singapore :2025. - xiii, 118 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9789819691944

Standard No.: 10.1007/978-981-96-9194-4doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Optimization methods and algorithms
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505 0 $a 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.
520 $a 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.
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