Results 81 to 90 of about 45,618 (222)
, 2009 We apply the maximum entropy principle to construct the natural invariant density and Lyapunov exponent of one-dimensional chaotic maps. Using a novel function reconstruction technique that is based on the solution of Hausdorff moment problem via ...
Akheizer N I +12 more
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Small Chebyshev systems made by products
Journal of Approximation Theory, 1989 The author obtains the main results as follows: Let \(F=\{f_ 0,f_ 1,...,f_ n\}\) be a set of real functions defined and continuous on [\(\alpha\),\(\beta\) ] and let \(1\leq ...
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International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Geometrically nonlinear static analysis of materially imperfect composite doubly curved shells is investigated via the generalised differential quadrature method. The effects of both shear and thickness deformation are considered through a thickness‐ and shear‐deformable third‐order theory formulated in curvilinear coordinates, while the ...
Behrouz Karami +3 more
wiley +1 more source
Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
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Chebyshev solution of large linear systems
Journal of Computer and System Sciences, 1967 AbstractThe general problem considered is that of solving a linear system of equations which is singular or almost singular. A method is described which obtains a “solution” to the system which is stable with respect to small changes in the matrix elements.
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Wildlife Biology, EarlyView.Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
Arab Journal of Mathematical Sciences, 2015 In this paper, two efficient numerical methods for solving system of fractional differential equations (SFDEs) are considered. The fractional derivative is described in the Caputo sense.
M.M. Khader, N.H. Sweilam, A.M.S. Mahdy
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Nature-inspired Cuckoo Search Algorithm for Side Lobe Suppression in a Symmetric Linear Antenna Array [PDF]
, 2012 In this paper, we proposed a newly modified cuckoo search (MCS) algorithm integrated with the Roulette wheel selection operator and the inertia weight controlling the search ability towards synthesizing symmetric linear array geometry with minimum side ...
Abdul Malek, M. F. +2 more
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
On some limit properties of functions with nonvanishing divided differences
Mathematical Modelling and Analysis, 2009 In present article the sequence of holomorphic in region D functions Fn@z) which have exactly n zeros in this region is considered. The limit properties of the sequence Fn (z), of functions with non‐vanishing divided differences of n‐th order are ...
Eduard Kiriyatzkii, J. Kirjackis
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