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Author: Anthony Hunter
Publisher: Springer
ISBN: 354049426X
Category : Computers
Languages : en
Pages : 474
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Book Description
An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.
Author: Anthony Hunter
Publisher: Springer
ISBN: 354049426X
Category : Computers
Languages : en
Pages : 474
Get Book Here
Book Description
An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.
Author: a;porsons hunter (s)
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Pedro W. Lamberti
Publisher: MDPI
ISBN: 3038977543
Category : Science
Languages : en
Pages : 188
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Book Description
Since its conception 90 years ago, the quantum uncertainty principle introduced by Werner Heisenberg lies behind most important features of quantum physics, and its implications have an impact that goes far beyond the physics community. This book focuses on the quantum uncertainty principle, providing an up-to-date examination of recent developments of its applications in quantum information theory. The book brings together several renowned experts working in the foundations of quantum mechanics and quantum information theory. The authors provide different approaches to the study of uncertainty relations and other fundamental aspects of the quantum formalism. Topics addressed include entanglement and Bell inequalities, the application of entropic information measures to the study of uncertainty inequalities, the characterization of deep learning networks in the context of adiabatic quantum computation, and the study of general properties of the set of quantum states. The content of this book will surely benefit both experienced and new researchers specializing in quantum information theory and the foundations of quantum mechanics.
Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 3525
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Book Description
Author: Olivier Le Maitre
Publisher: Springer Science & Business Media
ISBN: 9048135206
Category : Science
Languages : en
Pages : 542
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Book Description
This book deals with the application of spectral methods to problems of uncertainty propagation and quanti?cation in model-based computations. It speci?cally focuses on computational and algorithmic features of these methods which are most useful in dealing with models based on partial differential equations, with special att- tion to models arising in simulations of ?uid ?ows. Implementations are illustrated through applications to elementary problems, as well as more elaborate examples selected from the authors’ interests in incompressible vortex-dominated ?ows and compressible ?ows at low Mach numbers. Spectral stochastic methods are probabilistic in nature, and are consequently rooted in the rich mathematical foundation associated with probability and measure spaces. Despite the authors’ fascination with this foundation, the discussion only - ludes to those theoretical aspects needed to set the stage for subsequent applications. The book is authored by practitioners, and is primarily intended for researchers or graduate students in computational mathematics, physics, or ?uid dynamics. The book assumes familiarity with elementary methods for the numerical solution of time-dependent, partial differential equations; prior experience with spectral me- ods is naturally helpful though not essential. Full appreciation of elaborate examples in computational ?uid dynamics (CFD) would require familiarity with key, and in some cases delicate, features of the associated numerical methods. Besides these shortcomings, our aim is to treat algorithmic and computational aspects of spectral stochastic methods with details suf?cient to address and reconstruct all but those highly elaborate examples.
Author: Ralph C. Smith
Publisher: SIAM
ISBN: 1611973228
Category : Computers
Languages : en
Pages : 400
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Book Description
The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines. The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.
Author: Michael Smithson
Publisher: Springer Science & Business Media
ISBN: 1461236282
Category : Computers
Languages : en
Pages : 404
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Book Description
Ignorance and Uncertainty overviews a variety of approaches to the problem of indeterminacies in human thought and behavior. This book examines, in depth, trends in the psychology of judgment and decision-making under uncertainty or ignorance. Research from the fields of cognitive psychology, social psychology, organizational studies, sociology, and social anthroplogy are reviewed here in anticipation of what Dr. Smithson characterizes as the beginning of a "creative dialogue between these researchers". Ignorance and Uncertainty offers the conceptual framework for understanding the paradigms associated with current research. It discusses the ways in which attitudes toward ignorance and uncertainty are changing, and addresses issues previously ignored.
Author: Andrew Stranieri
Publisher: Springer Science & Business Media
ISBN: 1402030371
Category : Computers
Languages : en
Pages : 307
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Book Description
Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit. Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.
Author: Thomas Linke
Publisher: IOS Press
ISBN: 9781586031275
Category : Computers
Languages : en
Pages : 208
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Book Description
Author: Sidney Lees
Publisher:
ISBN:
Category : Inference
Languages : en
Pages : 1
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Book Description
Uncertainty of measurements examined by Shannon's theorem and Jaynes' formalism leads to definition of imprecision as bounds enclosing the measured value. Width of bounds is related to sytem performance and possible malfunction.
