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Reverse Engineering of Algebraic Inequalities

Exploring New Physical Realities and Optimizing Products and Processes
Buch | Hardcover
200 Seiten
2025 | 2nd edition
CRC Press (Verlag)
978-1-032-84856-3 (ISBN)
CHF 148,35 inkl. MwSt
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The second edition of Reverse Engineering of Algebraic Inequalities is a comprehensively updated new edition demonstrating the exploration of new physical realities and creation of new knowledge in various unrelated domains of human activity through reverse engineering of algebraic inequalities.

This book introduces a novel method that relies on reverse engineering of algebraic inequalities with the purpose to optimize systems and processes in relevant fields such as mechanical engineering, structural engineering, physics, electrical engineering, reliability engineering, and risk management. This book will provide the reader with methods to enhance the reliability of systems in total absence of knowledge about the reliabilities of the components building the systems; to develop light-weight structures with very big materials savings; to develop structures with very big load-bearing capacity; to enhance process performance and decision-making; to obtain new useful physical properties; and to correct flaws in the current practice for predicting system reliability.

This book will greatly benefit professionals and mathematical modelling researchers working on optimising processes and systems in diverse disciplines. It will also benefit undergraduate students introduced to mathematical modelling, post-graduate students and post-doctoral researchers working in the area of mathematical modelling, mechanical engineering, reliability engineering, structural engineering, risk management, and engineering design.

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Michael T. Todinov is a professor of mechanical engineering at Oxford Brookes University, UK, where he teaches reliability engineering, engineering mathematics, and advanced stress analysis. He holds a PhD in mechanical engineering and a higher doctorate, equivalent to a DSc, in mathematical modeling. Prof. Todinov has pioneered innovative research in several areas, including reverse engineering of algebraic inequalities, domain-independent methods for reliability improvement, analysis and optimization of repairable flow networks, reliability analysis based on the cost of failure, and fracture statistics controlled by defects. Michael Todinov is a recipient of a prestigious award from the Institution of Mechanical Engineers (UK) for his work in risk reduction in mechanical engineering.

1. Fundamental Approaches in Modelling Real Systems and Processes by Using Algebraic Inequalities: The Principle of Consistency for Algebraic Inequalities 2. Basic Algebraic Inequalities Used in Reverse Engineering and Their Properties 3. Obtaining New Physical Properties by Reverse Engineering of Algebraic Inequalities 4. Light-Weight Designs and Improving the Load-Bearing Capacity of Structures by Reverse Engineering of Algebraic Inequalities 5. Reliability-Related Reverse Engineering of Algebraic Inequalities 6. Enhancing the Reliability of Series-Parallel Systems with Multiple Redundancies by Reverse Engineering of Algebraic Inequalities 7. Reverse Engineering of Algebraic Inequalities to Disprove System Reliability Predictions Based on Average Component Reliabilities 8. Reverse Engineering of the Inequality of Additive Ratios 9. Optimal Selection and Expected Time of Unsatisfied Demand by Reverse Engineering of Algebraic Inequalities 10. Enhancing Systems and Process Performance by Reverse Engineering of Algebraic Inequalities Based on Sub-Additive and Super-Additive Functions 11. Enhancing Decision-Making by Reverse Engineering of Algebraic Inequalities 12. Generating New Knowledge by Reverse Engineering of Algebraic Inequalities in Terms of Potential Energy

Erscheint lt. Verlag 10.1.2025
Zusatzinfo 5 Tables, black and white; 67 Line drawings, black and white; 67 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 152 x 229 mm
Gewicht 335 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik Umwelttechnik / Biotechnologie
ISBN-10 1-032-84856-1 / 1032848561
ISBN-13 978-1-032-84856-3 / 9781032848563
Zustand Neuware
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