Credit Correlation: Theory and Practice, Elouerkhaoui Youssef

Автор: Juan Miguel Nieto
Название: Spinning Strings and Correlation Functions in the AdS/CFT Correspondence
ISBN: 3030071324 ISBN-13(EAN): 9783030071325
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book addresses several aspects of the integrable structure of the AdS/CFT correspondence. In particular it presents computations made on both sides of the AdS/CFT correspondence, at weak and at strong coupling. On the string theory side of the correspondence, the book focuses on the evaluation of the energy spectrum of closed string solutions moving in some deformed backgrounds that preserve integrability. On the gauge theory side, it explores various formal problems arising in the computation of two and three-point functions by means of the Algebraic Bethe Ansatz and the Quantum Inverse Scattering method.

Автор: Nieto
Название: Spinning Strings and Correlation Functions in the AdS/CFT Correspondence
ISBN: 3319960199 ISBN-13(EAN): 9783319960197
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book addresses several aspects of the integrable structure of the AdS/CFT correspondence.

Автор: Miles J & Shevlin M
Название: Applying Regression and Correlation
ISBN: 0761962301 ISBN-13(EAN): 9780761962304
Издательство: Sage Publications
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Цена: 58080.00 T
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Описание: By introducing the reader to regression analysis through a simple model-building approach, this book takes a fresh look at applying regression analysis in the behavioural sciences.

Автор: Shahandeh Farid
Название: Quantum Correlations: A Modern Augmentation
ISBN: 303024119X ISBN-13(EAN): 9783030241193
Издательство: Springer
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Цена: 93160.00 T
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Описание: The correlations between physical systems provide significant information about their collective behaviour – information that is used as a resource in many applications, e.g. communication protocols. However, when it comes to the exploitation of such correlations in the quantum world, identification of the associated ‘resource’ is extremely challenging and a matter of debate in the quantum community.This dissertation describes three key results on the identification, detection, and quantification of quantum correlations. It starts with an extensive and accessible introduction to the mathematical and physical grounds for the various definitions of quantum correlations. It subsequently focusses on introducing a novel unified picture of quantum correlations by taking a modern resource-theoretic position. The results show that this novel concept plays a crucial role in the performance of collaborative quantum computations that is not captured by the standard textbook approaches. Further, this new perspective provides a deeper understanding of the quantum-classical boundary and paves the way towards establishing a resource theory of quantum computations.

Автор: Aristarkh K. Mitropol skii
Название: Correlation Equations
ISBN: 1475798768 ISBN-13(EAN): 9781475798760
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book presents methods for computing correlation equations. We have paid particular attention in this book to the techniques of computing correlation equations, and to the use of tables for alleviating the computationalload.

Автор: Shipley
Название: Cause and Correlation in Biology
ISBN: 1107442591 ISBN-13(EAN): 9781107442597
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: Written for biologists and students, this practical guide underlies the principle methods for analysing cause-effect relationships. Featuring extensive sections on the use of R statistical language to apply statistical methods to biological data, this completely revised new edition is a valuable resource for practising biologists.

Автор: Mirkin Boris
Название: Core Data Analysis: Summarization, Correlation, and Visualiz
ISBN: 3030002705 ISBN-13(EAN): 9783030002701
Издательство: Springer
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Цена: 60550.00 T
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Описание: This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank. Features:· An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter. · Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc.· Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning.New edition highlights: · Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering· Restructured to make the logics more straightforward and sections self-containedCore Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners.