Browsing by Author "Abdumalik Rakhimov"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- Some of the metrics are blocked by yourconsent settings
Publication Localization Of Fourier-Laplace Series Of Distributions(Penerbit Universiti Putra Malaysia (UPM Press), 2013) ;Anvarjon Ahmedov ;Ahmad Fadly NurullahAbdumalik RakhimovThis work was intended as an attempt to extend the results on localization of Fourier-Laplace series to the spectral expansions of distributions on the unit sphere. It is shown that the spectral expansions of the distribution on the unit sphere can be represented in terms of decompostions of Laplace-Beltrami operator. It was of interest to establish sufficient conditions for localization of the spectral expansions of distribution to clarify the latter some relevant counter examples are indicated. - Some of the metrics are blocked by yourconsent settings
Publication On The Sufficient Conditions Of The Localization Of The Fourier-laplace Series Of Distributions From Liouville Classes(IOP Publishing, 2013) ;Anvarjon A. Ahmedov ;Ahmad Fadly Nurullah RasedeeAbdumalik RakhimovIn this work we investigate the localization principle of the Fourier-Laplace series of the distribution. Here we prove the suffcient conditions of the localization of the Riesz means of the spectral expansions of the Laplace-Beltrami operator on the unit sphere. - Some of the metrics are blocked by yourconsent settings
Publication The Solution Of Riccati Type Differential Equation By Means Of Variable Order Variable Stepsize Backward Difference Method(International Scientific Publications and Consulting Services, 2016) ;Ahmad Fadly Nurullah Rasedee ;Mohamed Suleiman ;Ali Ahmadian ;Zarina Bibi Ibrahim ;Khairil Iskandar OthmanAbdumalik RakhimovIn this article a variable order variable step size technique in backwards difference form is used to solve nonlinear Riccati differential equations directly. The method proposed requires calculating the integration coefficients only once at the beginning, in contrast to current divided difference methods which calculate integration coefficients at every step change. Numerical results will show that the variable order variable step size technique reduces computational cost in terms of total steps without effecting accuracy.