Mori's memory function formalism in nonlinear statistical hydrodynamics

F. M. Kuni; T. Yu. Novozhilova; L. C. Adjemjan

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Displaying similar documents to “Mori's memory function formalism in nonlinear statistical hydrodynamics”

Erratum : “Predictive extension of a singular lagrangian system”

J. A. Llosa, F. Marquès, A. Molina (1981)

Annales de l'I.H.P. Physique théorique

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Canonical non-symmetrical correspondence analysis: an alternative in constrained ordination.

Priscila Willems, M. Purificación Galindo Villardon (2008)

SORT

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Canonical non-symmetrical correspondence analysis is developed as an alternative method for constrained ordination, relating external information (e.g., environmental variables) with ecological data, considering species abundance as dependant on sites. Ordination axes are restricted to be linear combinations of the environmental variables, based on the information of the most abundant species. This extension and its associated unconstrained ordination method are terms of a global model...

New machine learning methods for prediction of protein secondary structures

Jacek Błażewicz, Piotr Łukasik, Szymon Wilk (2007)

Control and Cybernetics

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Basic theory of the analytic hierarchy process: How to make a Decision.

THOMAS L. SAATY (1999)

Revista de la Real Academia de Ciencias Exactas Físicas y Naturales

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Dirichlet problem for a nonlinear conservation law.

Guy Vallet (2000)

Revista Matemática Complutense

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In this paper we propose the study of a first-order non-linear hyperbolic equation in a bounded domain. We give a result of existence and uniqueness of the entropic measure-valued solution and of the entropic weak solution; for some general assumptions on the data.

Local Principal Components Analysis.

Tomàs. Aluja Banet, Ramón Nonell Torrent (1991)

Qüestiió

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Principal Components Analysis deals mainly with the analysis of large data sets with multivariate structure in an observational context for exploraty purposes. The factorial planes produced will show the main oppositions between variables and individuals. However, we may be interested in going further by controlling the effect of some latent or third variable which expresses some well-defined phenomenon. We go through this by means of a graph among individuals, following the same idea...

Compactness of support of solutions for some classes of nonlinear elliptic and parabolic systems.

M. Bouchekif (1994)

Publicacions Matemàtiques

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In this paper, we obtain some existence theorems of nonnegative solutions with compact support for homogeneous Dirichlet elliptic problems; we also extend these results to parabolis systems. Supersolution and comparison principles are our main ingredients.

Knowledge discovery in data using formal concept analysis and random projections

Cherukuri Aswani Kumar (2011)

International Journal of Applied Mathematics and Computer Science

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In this paper our objective is to propose a random projections based formal concept analysis for knowledge discovery in data. We demonstrate the implementation of the proposed method on two real world healthcare datasets. Formal Concept Analysis (FCA) is a mathematical framework that offers a conceptual knowledge representation through hierarchical conceptual structures called concept lattices. However, during the design of a concept lattice, complexity plays a major role.