期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
Numerical Solutions of Fractional Variable Order Differential Equations via Using Shifted Legendre Polynomials
1
作者 Kamal Shah Hafsa Naz +2 位作者 Thabet Abdeljawad Aziz Khan Manar A.Alqudah 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第2期941-955,共15页
In this manuscript,an algorithm for the computation of numerical solutions to some variable order fractional differential equations(FDEs)subject to the boundary and initial conditions is developed.We use shifted Legen... In this manuscript,an algorithm for the computation of numerical solutions to some variable order fractional differential equations(FDEs)subject to the boundary and initial conditions is developed.We use shifted Legendre polynomials for the required numerical algorithm to develop some operational matrices.Further,operational matrices are constructed using variable order differentiation and integration.We are finding the operationalmatrices of variable order differentiation and integration by omitting the discretization of data.With the help of aforesaid matrices,considered FDEs are converted to algebraic equations of Sylvester type.Finally,the algebraic equations we get are solved with the help of mathematical software like Matlab or Mathematica to compute numerical solutions.Some examples are given to check the proposed method’s accuracy and graphical representations.Exact and numerical solutions are also compared in the paper for some examples.The efficiency of the method can be enhanced further by increasing the scale level. 展开更多
关键词 Operational matrices shifted legendre polynomials FDEs variable order
下载PDF
An improved element-free Galerkin method for solving the generalized fifth-order Korteweg-de Vries equation
2
作者 冯昭 王晓东 欧阳洁 《Chinese Physics B》 SCIE EI CAS CSCD 2013年第7期320-327,共8页
In this paper, an improved element-free Galerkin (IEFG) method is proposed to solve the generalized fifth-order Korteweg-de Vries (gfKdV) equation. When the traditional element-free Galerkin (EFG) method is used... In this paper, an improved element-free Galerkin (IEFG) method is proposed to solve the generalized fifth-order Korteweg-de Vries (gfKdV) equation. When the traditional element-free Galerkin (EFG) method is used to solve such an equation, unstable or even wrong numerical solutions may be obtained due to the violation of the consistency conditions of the moving least-squares (MLS) shape functions. To solve this problem, the EFG method is improved by employing the improved moving least-squares (IMLS) approximation based on the shifted polynomial basis functions. The effectiveness of the IEFG method for the gfKdV equation is investigated by using some numerical examples. Meanwhile, the motion of single solitary wave and the interaction of two solitons are simulated using the IEFG method. 展开更多
关键词 element-free Galerkin method shifted polynomial basis generalized fifth-order Korteweg–de Vries equation solitary wave
下载PDF
Approximate Solution of the Singular-Perturbation Problem on Chebyshev-Gauss Grid
3
作者 Mustafa Gulsu Yalcin Ozturk 《American Journal of Computational Mathematics》 2011年第4期209-218,共10页
Matrix methods, now-a-days, are playing an important role in solving the real life problems governed by ODEs and/or by PDEs. Many differential models of sciences and engineers for which the existing methodologies do n... Matrix methods, now-a-days, are playing an important role in solving the real life problems governed by ODEs and/or by PDEs. Many differential models of sciences and engineers for which the existing methodologies do not give reliable results, these methods are solving them competitively. In this work, a matrix methods is presented for approximate solution of the second-order singularly-perturbed delay differential equations. The main characteristic of this technique is that it reduces these problems to those of solving a system of algebraic equations, thus greatly simplifying the problem. The error analysis and convergence for the proposed method is introduced. Finally some experiments and their numerical solutions are given. 展开更多
关键词 Singular Perturbation Problems Two-Point Boundary Value Problems The shifted Chebyshev polynomials Approximation Method Matrix Method
下载PDF
Rotation Scaling and Translation Invariants of 3D Radial Shifted Legendre Moments 被引量:1
4
作者 Mostafa El Mallahi Jaouad E1Mekkaoui +2 位作者 Areal Zouhri Hicham Amakdouf Hassan Qjidaa 《International Journal of Automation and computing》 EI CSCD 2018年第2期169-180,共12页
This paper proposes a new set of 3D rotation scaling and translation invariants of 3D radially shifted Legendre moments. We aim to develop two kinds of transformed shifted Legendre moments: a 3D substituted radial sh... This paper proposes a new set of 3D rotation scaling and translation invariants of 3D radially shifted Legendre moments. We aim to develop two kinds of transformed shifted Legendre moments: a 3D substituted radial shifted Legendre moments (3DSRSLMs) and a 3D weighted radial one (3DWRSLMs). Both are centered on two types of polynomials. In the first case, a new 3D ra- dial complex moment is proposed. In the second case, new 3D substituted/weighted radial shifted Legendremoments (3DSRSLMs/3DWRSLMs) are introduced using a spherical representation of volumetric image. 3D invariants as derived from the sug- gested 3D radial shifted Legendre moments will appear in the third case. To confirm the proposed approach, we have resolved three is- sues. To confirm the proposed approach, we have resolved three issues: rotation, scaling and translation invariants. The result of experi- ments shows that the 3DSRSLMs and 3DWRSLMs have done better than the 3D radial complex moments with and without noise. Sim- ultaneously, the reconstruction converges rapidly to the original image using 3D radial 3DSRSLMs and 3DWRSLMs, and the test of 3D images are clearly recognized from a set of images that are available in Princeton shape benchmark (PSB) database for 3D image. 展开更多
关键词 3D radial complex moments 3D radial shifted Legendre radial moments radial shifted Legendre polynomials 3D imagereconstruction 3D rotation scaling translation invariants 3D image recognition computational complexities.
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部