Algorithms in Bioinformatics: Theory and Implementation / Paul A. Gagniuc
Explores a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of ...
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An Introduction to Markov Processes
Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject ...
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Arithmetical Investigations : Representation Theory, Orthogonal Polynomials, and Quantum Interpolations
In this volume the author further develops his philosophy of quantum interpolation between the real numbers and the p-adic ...
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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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Eigenvalues, Inequalities, and Ergodic Theory
A problem of broad interest – the estimation of the spectral gap for matrices or differential operators (Markov chains ...
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Empirical Techniques in Finance
This book offers the opportunity to study and experience advanced empi- cal techniques in finance and in general financial ...
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Formal Approaches to Software Testing (vol. # 3997)
This book constitutes the thoroughly refereed post-proceedings of the 5th International Workshop on Formal Approaches to ...
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Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Measure Theory and Probability Theory
The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option ...
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Measure Theory and Probability Theory
The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option ...
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Modeling Uncertainty
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
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Partner Choice and Cooperation in Networks
Cooperation is beneficial but may be hard to achieve in situations where the selfish interests of individuals conflict with ...
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Rational, Robust, and Secure Negotiations in Multi-Agent Systems
This book addresses all aspects of negotiation mechanisms in multi-agent systems, including Multi-Issue Negotiations, Concurrent ...
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Retrial Queueing Systems : A Computational Approach
Retrial Queueing Systems: A Computational Approach also Presents motivating examples in telephone and computer networks. Establishes ...
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Semi-Markov Chains and Hidden Semi-Markov Models toward Applications : Their use in Reliability and DNA Analysis
This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes ...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
This book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, ...
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Stochastic Learning and Optimization
(Four areas in one book) This book covers various disciplines in learning and optimization, including perturbation analysis ...
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Vacation Queueing Models
A classical queueing model consists of three parts - arrival process, service process, and queue discipline. However, a vacation ...
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