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Wu, X. Zhu, G. Wu and W. Knowledge Data Engrg. Zanardi, P. Giorda and M. Cozzini, Information-theoretic differential geometry of quantum phase transitions, Phys. Export Citation. Here you can find all Crossref-listed publications in which this article is cited. User Account Log in Register Help. Search Close Advanced Search Help. My Content 1 Recently viewed 1 Information geometry, Show Summary Details. More options …. Monte Carlo Methods and Applications. Managing Editor: Sabelfeld, Karl K. See all formats and pricing. Online ISSN See all formats and pricing Online.

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The Geometry of Random Fields

Volume 3 Issue 3 Jan , pp. Volume 2 Issue 2 Jan , pp. Volume 1 Issue 3 Jan , pp. Previous Article. Next Article. Frontmatter Information geometry, simulation and complexity in Gaussian random fields On the complexity of binary floating point pseudorandom generation Random walk on semi-cylinders for diffusion problems with mixed Dirichlet—Robin boundary conditions The acceptance-rejection method for low-discrepancy sequences Study and simulation of the sputtering process of material layers in plasma.

Information geometry, simulation and complexity in Gaussian random fields. Alexandre L. Abstract Random fields are useful mathematical objects in the characterization of non-deterministic complex systems. References 1.

About the article Received : Accepted : Published Online : Published in Print : Citing Articles Here you can find all Crossref-listed publications in which this article is cited. An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models. DOI: Closed-form Bayesian image denoising: improving the adaptive Wiener filter through pairwise Gaussian-Markov random fields. Related Content Loading Browse All Figures Return to Figure. Previous Figure Next Figure. Email or Customer ID. Forgot password?

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Miscellanea Rene Guenon. Table of contents Preface to the Classics edition; Preface; Corrections and comments; 1. Random fields and excursion sets; 2. Homogeneous fields and their spectra; 3. Sample function regularity; 4. Geometry and excursion characteristics; 5.

Some expectations; 6. Local maxima and high-level excursions; 7. Some non-Gaussian fields; 8.

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Sample function erraticism and Hausdorff dimension; Appendix. About Robert J. Rating details. Book ratings by Goodreads.

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