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- 334 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Probability, Combinatorics and Control
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About This Book
Probabilistic and combinatorial techniques are often used for solving advanced problems. This book describes different probabilistic modeling methods and their applications in various areas, such as artificial intelligence, offshore platforms, social networks, and others. It aims to educate how modern probabilistic and combinatorial models may be created to formalize uncertainties; to train how new probabilistic models can be generated for the systems of complex structures; to describe the correct use of the presented models for rational control in systems creation and operation; and to demonstrate analytical possibilities and practical effects for solving different system problems on each life cycle stage.
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Yes, you can access Probability, Combinatorics and Control by Andrey Kostogryzov, Victor Korolev in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Probability, Combinatorics and Control
- Contents
- Preface
- Section 1 - From Reasonable Control to Balanced Human and Artificial Intelligence, Achievable Effects and Sustainable Harmony
- Chapter 1 - Probabilistic Methods for Cognitive Solving of Some Problems in Artificial Intelligence Systems
- Chapter 2 - Laboratory, Bench, and Full-Scale Researches of Strength, Reliability, and Safety of High-Power Hydro Turbines
- Chapter 3 - Mixture Transition Distribution Modelling of Multivariate Time Series of Discrete State Processes: With an Application to Modelling Flowering Synchronisation with Respect to Climate Dynamics
- Chapter 4 - Hybrid Modeling of Offshore Platformsâ Stress-Deformed and Limit States Taking into Account Probabilistic Parameters
- Chapter 5 - Probabilistic Modeling, Estimation and Control for CALS Organization-Technical-Economic Systems
- Chapter 6 - Combined Calculated, Experimental and Determinated and Probable Justifications for Strength of Trunk Crude Oil Pipelines
- Section 2 - From a Formalization of Uncertainities to Probabilistic Modeling, Reasonable Control and Artificial Intelligence
- Chapter 7 - From Asymptotic Normality to Heavy-Tailedness via Limit Theorems for Random Sums and Statistics with Random Sample Sizes
- Chapter 8 - Probability Modeling Taking into Account Nonlinear Processes of a Deformation and Fracture for the Equipment of Nuclear Power Plants
- Chapter 9 - Combinatorial Enumeration of Graphs
- Chapter 10 - New Variations of the Onlinek-Canadian Traveler Problem: Uncertain Costs at Known Locations
- Chapter 11 - A Geometrical Realisation of Quasi-Cyclic Codes
- Chapter 12 - Moments of the Discounted Aggregate Claims with DelayInter-Occurrence Distribution and Dependence Introduced by a FGM Copula
- Chapter 13 - Modelling the Information-Psychological Impact in Social Networks
- Chapter 14 - Combinatorial Cosmology