Concise Guide to Optimization Models and Methods - A Problem-Based Test Prep for Students (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	November 2022
First published:	2022
Authors:	Xian Wen Ng
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	122
Edition:	1st ed. 2022
ISBN-13:	978-3-03-084419-6
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
LSN:	3-03-084419-6
Barcode:	9783030844196

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