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

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Concise Guide to Optimization Models and Methods
A Problem-Based Test Prep for Students
This concise text contains the most commonly-encountered examination problems in the topic of Optimization Models and Methods, an important module in engineering and other disciplines where there exists an increasing need to operate optimally and sustainably under constraints, such as tighter resource availability, environmental consideration, and cost pressures. This book is comprehensive in coverage as it includes a diverse spectrum of problems from numerical open-ended questions that probe creative thinking to the relation of concepts to realistic settings. The book adopts many examples of design scenarios as context for curating sample problems. This will help students relate desktop problem-solving to tackling real-world problems. Succinct yet rigorous, with over a 100 pages of problems and corresponding worked solutions presented in detail, the book is ideal for students of engineering, applied science, and market analysis.

This is a digital product.

Concise Guide to Optimization Models and Methods: A Problem-Based Test Prep for Students is written by Xian Wen Ng and published by Springer. The Digital and eTextbook ISBNs for Concise Guide to Optimization Models and Methods are 9783030844172, 303084417X and the print ISBNs are 9783030844165, 3030844161.