Dunkl-supersymmetric orthogonal functions associated with classical orthogonal polynomials
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Physics A: Mathematical and Theoretical"
DOI: 10.1088/1751-8121/ab63a9
Abstract: We consider the eigenvalue problem associated with the Dunkl-type differential operator (in which the reflection operator R is involved) L = dx R + v(x), (v(-x) = -v(x)), in the context of supersymmetric quantum mechanical… read more here.
Keywords: dunkl supersymmetric; orthogonal polynomials; dunkl; supersymmetric orthogonal ... See more keywords
Detection of Oceanographic Fronts on Variable Water Depths Using Empirical Orthogonal Functions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2019.2917456
Abstract: Oceanographic baroclinic fronts are boundaries between water masses with differences in hydrography. Often the presence of baroclinic fronts coincides with oceanographic currents. The detection of fronts in oceanographic data, e.g., ocean model data, is normally… read more here.
Keywords: orthogonal functions; water; empirical orthogonal; sea surface ... See more keywords
A New Approach to Approximate Solutions of Single Time-Delayed Stochastic Integral Equations via Orthogonal Functions
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DOI: 10.3390/sym14102085
Abstract: This paper proposes a new numerical method for solving single time-delayed stochastic differential equations via orthogonal functions. The basic principles of the technique are presented. The new method is applied to approximate two kinds of… read more here.
Keywords: single time; orthogonal functions; delayed stochastic; equations via ... See more keywords
Various ways of using empirical orthogonal functions for climate model evaluation
Sign Up to like & getrecommendations! Published in 2023 at "Geoscientific Model Development"
DOI: 10.5194/gmd-16-2899-2023
Abstract: Abstract. We present a framework for evaluating multi-model ensembles based on common empirical orthogonal functions (common EOFs) that emphasize salient features connected to spatio-temporal covariance structures embedded in large climate data volumes. This framework enables… read more here.
Keywords: evaluation; common eofs; empirical orthogonal; orthogonal functions ... See more keywords
Identification of Nonlinear Systems Using the Hammerstein-Wiener Model with Improved Orthogonal Functions
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DOI: 10.5755/j02.eie.33838
Abstract: Hammerstein-Wiener systems present a structure consisting of three serial cascade blocks. Two are static nonlinearities, which can be described with nonlinear functions. The third block represents a linear dynamic component placed between the first two… read more here.
Keywords: structure; orthogonal functions; improved orthogonal; wiener ... See more keywords