Results 71 to 80 of about 3,339 (307)
The Chebyshev Wavelet Method for Numerical Solutions of A Fractional Oscillator
Wavelet transform or wavelet analysis has been recently developed as a mathematical tool for many problems. This paper is concerned with the wavelet numerical method for solving partial differential equations (PDE’s). The method is based on discrete wavelet transform, using Chebyshev Wavelet Method (CWM) which can be used for solving fractional ...
E. Hesameddini +2 more
openaire +2 more sources
Neurovascular Contacts in the Pathophysiology of Neuralgic Amyotrophy: An Observational Study
ABSTRACT Objective Neuralgic amyotrophy (NA) is a prevalent, monophasic, multifocal immune‐mediated neuropathy. A distinctive characteristic of the disease is the occurrence of nerve or fascicle constrictions and torsions (NA‐associated focal nerve lesions, NAFL). The pathophysiology underlying this phenomenon remains to be fully elucidated.
Johannes Fabian Holle +4 more
wiley +1 more source
Wavelet-based techniques have attracted the attention of researchers in solving systems of fractional order differential equations (FODEs) since they can detect singularities, are simple, have compact support, and are highly accurate with less ...
Vida Afosaa +3 more
doaj +1 more source
Introduction Optimal control problems (OCPs) appear in a wide class of applications. In the classical control problems, the state-space equations are expressed as differential equations.
Hamid Mesgarani +2 more
doaj
The numerical solution of singular initial value problems using Chebyshev wavelet collocation method
Wavelet analysis is a recently developed mathematical tool for many problems. In this paper, an efficient and new numerical method is proposed for the numerical solution of singular initial value problems, which is based on collocation points with ...
S.C. Shiralashetti, A.B. Deshi
doaj +1 more source
Numerical solution of integrals and nonlinear integral equations by wavelets [PDF]
In recent years, wavelets have found their way into many different fields of science and engineering. This is because wavelets possess several important properties, such as orthogonality, compact support, exact representation of polynomials at certain
Abdul Sathar, Mohammad Hasan
core
ABSTRACT Objective To characterize the demographic, clinical, and laboratory features of the Chinese patients of genetic Creutzfeldt‐Jakob disease with T188K variant (T188K‐gCJD), the most common subtype of genetic prion diseases (gPrDs) in China. Methods In this nationwide retrospective study, data from 98 genetically confirmed T188K‐gCJD patients ...
Chun‐Jie Li +11 more
wiley +1 more source
Mother wavelets play a crucial role in wavelet analysis, leading to the development of several well-known families such as Haar, Morlet, Legendre, and Chebyshev wavelets.
Susheel Kumar +3 more
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An efficient Chebyshev wavelets method for solving a class of nonlinear fractional integrodifferential equations in a large interval is developed, and a new technique for computing nonlinear terms in such equations is proposed.
M. H. Heydari +3 more
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Pricing asset-or-nothing options using Haar wavelet [PDF]
This article proposes a new numerical technique for pricing asset-or-nothing options using the Black-Scholes partial differential equation (PDE). We first use the θ−weighted method to discretize the time domain, and then use Haar wavelets to approximate ...
Saeed Vahdati, Foad Shokrollahi
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