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.
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.
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.
Inhaltsangabe
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
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
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