Interpretation of Algebraic Inequalities - Practical Engineering Optimisation and Generating New Knowledge

This book demonstrates how interpreting abstract inequalities can optimise engineering design processes, with applications in mechanical engineering, materials science, electrical engineering, reliability engineering and risk management.

List of contents

Chapter 1 Fundamental Approaches in Modelling Real Systems and Processes by Using Algebraic Inequalities. The Principle of Non-contradiction for Algebraic Inequalities
Chapter 2 Basic Algebraic Inequalities
Chapter 3 Generating Knowledge about Physical Systems by Meaningful Interpretation of Algebraic Inequalities
Chapter 4 Enhancing Systems Performance by Interpretation of the Bergstrom Inequality
Chapter 5 Enhancing Systems Performance by Interpretation of Other Algebraic Inequalities Based on Sub-Additive and Super-Additive Functions
Chapter 6 Optimal Selection and Expected Time of Unsatisfied Demand by Meaningful Interpretation of Algebraic Inequalities
Chapter 7 Enhancing Decision-Making by Interpretation of Algebraic Inequalities
Chapter 8 Generating New Knowledge by Interpreting Algebraic Inequalities in Terms of Potential Energy

About the author

Professor Michael Todinov works on mechanical engineering, applied mathematics and computer science. After receiving a DEng from the University of Birmingham, he built a reputation working on reliability and risk, flow networks, probability and probabilistic fatigue and fracture. He is Professor of Mechanical Engineering at Oxford Brookes University, UK.

Summary

This book demonstrates how interpreting abstract inequalities can optimise engineering design processes, with applications in mechanical engineering, materials science, electrical engineering, reliability engineering and risk management.

Product details

• Authors: Michael T Todinov, Michael T. Todinov, Michael Todinov, Michael (Oxford Brookes University Todinov
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 27.05.2024
• EAN: 9781032059198
• ISBN: 978-1-0-3205919-8
• No. of pages: 136
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; TECHNOLOGY & ENGINEERING / Mechanical, Mathematics, computer science, Mechanical Engineering, Probability & statistics, Calculus & mathematical analysis, Applied mathematics, Information technology: general issues, Maths for engineers, Mathematical modelling, Probability and statistics, Calculus and mathematical analysis, Information technology: general topics