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

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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.

 

 


Author(s): Xian Wen Ng
Publisher: Springer
Year: 2021

Language: English
Pages: 133
City: Cham

Preface
Acknowledgements
Contents
About the Author
Basic Concepts, Lagrangian Methods and Linear Programming Problems
Problem 1
Solution 1
Problem 2
Solution 2
Problem 3
Solution 3
Problem 4
Solution 4
Problem 5
Solution 5
Problem 6
Solution 6
Non-linear Programming Problems with Constraints and Euler´s Methods
Problem 7
Solution 7
Problem 8
Solution 8
Problem 9
Solution 9
Problem 10
Solution 10
Complex Optimization Problems
Problem 11
Solution 11
Problem 12
Solution 12
Problem 13
Solution 13
Problem 14
Solution 14
Problem 15
Solution 15
Problem 16
Solution 16
Index