An improved smoothed particle hydrodynamics approach using new inverse kernel function
Journal of Ocean Engineering and Science, 2022 The main limitation of Smoothed Particle Hydrodynamics (SPH) method that resists the method's potential is its lack of providing stability and accuracy to the numerical technique.
J.R. Rajapriyadharshini
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Real-time fractional order system identification using recursive least squares method
Algerian Journal of Signals and Systems, 2020 In this paper, we address the problem of fractional order systems real-time identification based on recursive least squares technique. The fractional order model is approximated using the Charef Singularity function method and Grünwald numerical ...
Walid TOUIL +2 more
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Analytically extended function to representation of some measured lightning currents [PDF]
Serbian Journal of Electrical Engineering, 2016 A multi-peaked form of the analytically extended function (AEF) is used for approximation of lightning current waveforms in this paper. The AEF function’s parameters are estimated using the Marquardt least-squares method (MLSM), and the general ...
Lundengård Karl +3 more
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Nonlinear approximation of functions based on nonnegative least squares solver
Numerical Linear Algebra with Applications, 2023 AbstractIn computational practice, most attention is paid to rational approximations of functions and approximations by the sum of exponents. We consider a wide enough class of nonlinear approximations characterized by a set of two required parameters.
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Least Square Approximation by Linear Combination of Exponential Functions [PDF]
Journal of Mathematics and Statistics, 2006 Here we were concerned with least square approximation by exponential functions for given data. In this manuscript, we approximate the given data such that this approximant satisfies a differential equation. The case of nonlinear differential equations was also considered.
Bahman Mehri +2 more
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Downdating of Szego polynomials and data fitting applications [PDF]
, 1992 Many algorithms for polynomial least squares approximation of real- valued function on a real interval determine polynomials that are orthogonal with respect to a suitable inner product defined on this interval.
Ammar, Gregory S. +2 more
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APPLICATION OF PARTIAL LEAST SQUARES REGRESSION FOR AUDIO-VISUAL SPEECH PROCESSING AND MODELING [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 Subject of Research. The paper deals with the problem of lip region image reconstruction from speech signal by means of Partial Least Squares regression. Such problems arise in connection with development of audio-visual speech processing methods.
A. L. Oleinik
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A machine learning approach to portfolio pricing and risk management for high-dimensional problems
, 2021 We present a general framework for portfolio risk management in discrete time, based on a replicating martingale. This martingale is learned from a finite sample in a supervised setting.
Fernandez-Arjona, Lucio +1 more
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Pruning Error Minimization in Least Squares Support Vector Machines [PDF]
, 2003 The support vector machine (SVM) is a method for classification and for function approximation. This method commonly makes use of an /spl epsi/-insensitive cost function, meaning that errors smaller than /spl epsi/ remain unpunished. As an alternative, a
Kruif, Bas J. de, Vries, Theo J.A. de
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Mathematical model of feet temperature [PDF]
, 2011 In this work it is consider the problem of finding the best approximation to characterize the feet temperature distribution. For this study it was consider the nonlinear least squares technique, combined with penalty method, to identify the function ...
Bento, David +2 more
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