Concise Guide to Optimization Models and Methods

A Problem-Based Test Prep for Students
1. Auflage 2022
ISBN: 978-3-030-84419-6
Verlag: Springer International Publishing

Buch, Englisch, 122 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 219 g

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.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Ng, Xian Wen

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik

Inhaltsverzeichnis

Chapter1: Basic Concepts, Lagrangian Methods and Linear Programming Problems.- Chapter2: Non-linear Programming Problems with Constraints and Euler’s Methods.- Chapter3: Complex Optimization Problems.

Über Autor(innen)

X. W. Ng graduated with First-Class Honors from the University of Cambridge, UK, with a Master’s Degree in Chemical Engineering and Bachelor of Arts in 2011, and was subsequently conferred a Master of Arts in 2014. She was ranked second in her graduating class and was the recipient of a series of college scholarships including the Samuel Taylor Marshall Memorial Scholarship, Thomas Ireland Scholarship, and British Petroleum Prize in Chemical Engineering for top performance in consecutive years of academic examinations. Ng was also one of two students from Cambridge University selected for the Cambridge-Massachusetts Institute of Technology (MIT) exchange program in Chemical Engineering, which she completed with Honors with a cumulative GPA of 4.8 (5.0). Since graduation, Xian Wen Ng has been keenly involved in teaching across various academic levels. Her areas of specialization include advanced level Mathematics, Physics, and Chemistry, as well as tertiary level Engineering.