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Electron Correlation in Molecules ab initio Beyond Gaussian Quantum Chemistry

www.ebooks.com/cj.asp?IID=2518385&cjsku=2518385...
Electron Correlation in Molecules ab initio Beyond Gaussian Quantum Chemistry presents a series of articles concerning important topics in quantum chemistry, including surveys of current topics in this rapidly-developing field that has emerged at the cross section of the historically established areas of mathematics, physics, chemistry, and biology. Presents surveys of current topics in this rapidly-developing field that has emerged at the cross section of the historically established areas of mathematics, physics, chemistry, and biology Features detailed reviews written by leading international researchers The volume includes review on all the topics treated by world renown authors and cutting edge research contributions.
Category: Science. ISBN: 9780128030608

Modelling and Control of Dynamic Systems Using Gaussian Process Models

www.ebooks.com/cj.asp?IID=2502175&cjsku=2502175...
This monograph opens up new horizons for engineers and researchers inacademia and in industry dealing with or interested in new developments in thefield of system identification and control. It emphasizes guidelines forworking solutions and practical advice for their implementation rather than thetheoretical background of Gaussian process (GP) models. The book demonstratesthe potential of this recent development in probabilistic machine-learningmethods and gives the reader an intuitive understanding of the topic. Thecurrent state of the art is treated along with possible future directions forresearch. Systems control design relies on mathematical models and these may bedeveloped from measurement data. This process of system identification, whenbased on GP models, can play an integral part of control design in data-basedcontrol and its description as such is an essential aspect of the text. Thebackground of GP regression is introduced first with system identification andincorporation of prior knowledge then leading into full-blown control. The bookis illustrated by extensive use of examples, line drawings, and graphicalpresentation of computer-simulation results and plant measurements. Theresearch results presented are applied in real-life case studies drawn fromsuccessful applications including: a gasliquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB  toolbox, for identification and simulation ofdynamic GP models is provided for download.
Category: Technology. ISBN: 9783319210209

Stochastic Analysis for Gaussian Random Processes and Fields

www.ebooks.com/cj.asp?IID=2075868&cjsku=2075868...
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs). The book begins with preliminary results on covariance and associated RKHS before introducing the Gaussian process and Gaussian random fields. The authors use chaos expansion to define the Skorokhod integral, which generalizes the It integral. They show how the Skorokhod integral is a dual operator of Skorokhod differentiation and the divergence operator of Malliavin. The authors also present Gaussian processes indexed by real numbers and obtain a KallianpurStriebel Bayes' formula for the filtering problem. After discussing the problem of equivalence and singularity of Gaussian random fields (including a generalization of the Girsanov theorem), the book concludes with the Markov property of Gaussian random fields indexed by measures and generalized Gaussian random fields indexed by Schwartz space. The Markov property for generalized random fields is connected to the Markov process generated by a Dirichlet form.
Category: Mathematics. ISBN: 9781498707817

Bipartite Graphs and their Applications

www.ebooks.com/cj.asp?IID=890016&cjsku=890016...
This book treats the fundamental mathematical properties that hold for a family of Gaussian random variables.
Category: Mathematics. ISBN: 9780521593458

Quantum Information Ii

www.ebooks.com/cj.asp?IID=1223457&cjsku=1223457...
This volume constitutes the proceedings of the Second International Conference on Quantum Information, held at Meijo University, Japan, in 1999. Topics addressed include: CKS-space in terms of growth functions; Gaussian processes and Gaussian random fields; and more.
Category: Science. ISBN: 9789810243173

The Oxford Handbook of Credit Derivatives

www.ebooks.com/cj.asp?IID=1164124&cjsku=1164124...
Provides a timely discussion of the mathematical modelling that underpins both credit derivatives and securitisation. It covers statistical analysis and techniques, modelling of default of both single and multiple entities, counterparty risk, Gaussian and non-Gaussian modelling, and securitisation.
Category: Business. ISBN: 9780199546787

The Oxford Handbook of Credit Derivatives

www.ebooks.com/cj.asp?IID=2540323&cjsku=2540323...
Provides a timely discussion of the mathematical modelling that underpins both credit derivatives and securitisation. It covers statistical analysis and techniques, modelling of default of both single and multiple entities, counterparty risk, Gaussian and non-Gaussian modelling, and securitisation.
Category: Business. ISBN: 9780199546787

An Introduction to Probability and Stochastic Processes

www.ebooks.com/cj.asp?IID=1981740&cjsku=1981740...
Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian and Markov processes, and stochastic differential equations. 1973 edition.
Category: Mathematics. ISBN: 9780486490991

Elementary Theory of Numbers

www.ebooks.com/cj.asp?IID=1973065&cjsku=1973065...
Superb introduction to Euclidean algorithm and its consequences, congruences, continued fractions, powers of an integer modulo m, Gaussian integers, Diophantine equations, more. Problems, with answers. Bibliography.
Category: Mathematics. ISBN: 9780486663487

Statistical Inference for Discrete Time Stochastic Processes

www.ebooks.com/cj.asp?IID=1083429&cjsku=1083429...
This book offers an overview of statistical inference in stationary, discrete time stochastic processes. It reviews results in the last fifteen years, particularly on non-Gaussian sequences and semi-parametric and non-parametric analysis
Category: Mathematics. ISBN: 9788132207627
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