Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Flow of ions through voltage gated channels can be represented theoretically using stochastic differential equations where ...
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Control Theory in Physics and other Fields of Science
This book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic ...
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Control of Singular Systems with Abrupt Changes
In this book many problems like stochastic stability, stochastic stabilization using state feedback control and static output ...
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Control of Spatially Structured Random Processes and Random Fields with Applications
This book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop ...
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Control of Spatially Structured Random Processes and Random Fields with Applications
This book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop ...
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Cooperative Systems : Control and Optimization
This book provides an insight in the basic understanding of cooperative systems as well as in theory, modeling, and applications ...
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Coping with Uncertainty
Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools. A key issue concerns ...
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Critique de la valeur fondamentale
This work takes stock of the different conceptions of fundamental value in finance, the methods of its calculation and the ...
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Cycle Representations of Markov Processes
This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
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Cycle Representations of Markov Processes
This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
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Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets / Maria Cristina Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela
Delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various ...
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Decision Making under Deep Uncertainty
This book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms / Tome Eftimov, Peter Korošec
Presents a comprehensive comparison of the performance of stochastic optimization algorithms Includes an introduction to ...
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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Design of Observational Studies
This book introduction to statistical inference in observational studies and a detailed discussion of the principles that ...
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Device Applications of Nonlinear Dynamics
This edited book is devoted specifically to the applications of complex nonlinear dynamic phenomena to real systems and device ...
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Differential Equations Driven by Rough Paths
The goal of these notes is to provide a straightforward and self supporting but minimalist account of the key results forming ...
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Discrete-Time Markov Chains
The motivation stems from existing and emerging applications in optimization and control of complex hybrid Markovian systems ...
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Discrete-Time Markov Jump Linear Systems
Safety critical and high-integrity systems, such as industrial plants and economic systems, can be subject to abrupt changes ...
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