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

This book provides a comprehensive coverage of optimization models and methods, including a diverse spectrum of problems and examples from design scenarios, making it ideal for students of engineering, applied science, and market analysis.

Format: Paperback / softback
Length: 122 pages
Publication date: 26 November 2022
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 connection 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 in addressing real-world challenges. With over a hundred pages dedicated to presenting detailed problems and corresponding worked solutions, the book caters to students pursuing engineering, applied science, and market analysis. Whether you are a novice or an experienced practitioner, this text will provide you with the essential tools and knowledge to excel in your optimization endeavors.

Weight: 221g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030844196
Edition number: 1st ed. 2022