Concise Guide to Optimization Models and Methods: A Problem-Based Test Prep for Students

The book "Optimization Models and Methods" is a comprehensive resource for examination problems in optimization, covering a diverse range of topics and adopting real-world design scenarios as context. It is ideal for students of engineering, applied science, and market analysis, with over 100 pages of problems and worked solutions.

Format: Hardback
Length: 122 pages
Publication date: 25 November 2021
Publisher: Springer Nature Switzerland AG

This comprehensive text serves as a valuable resource for those seeking to excel in the field of Optimization Models and Methods, a crucial module in engineering and various other disciplines where the demand for optimal and sustainable operations under constraints, such as limited resources, environmental considerations, and cost pressures, is on the rise. Spanning a diverse range of problems, from numerical open-ended questions that encourage creative thinking to the relationship between concepts and real-world scenarios, this book offers a thorough coverage of the topic. By incorporating numerous examples of design scenarios as contextual references, it facilitates a strong connection between desktop problem-solving and the practical application of knowledge to tackle real-world challenges. With over a hundred pages dedicated to presenting detailed problems and corresponding worked solutions, the book is particularly well-suited for students pursuing engineering, applied science, and market analysis. Whether you are a student, professional, or researcher, this text provides a solid foundation for understanding and applying optimization models and methods in your endeavors.

Weight: 402g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030844165
Edition number: 1st ed. 2022