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Estimating Sums of Convergent Series via Rational Polynomials
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作者 Serdar Beji 《Advances in Pure Mathematics》 2023年第4期187-197,共11页
Sums of convergent series for any desired number of terms, which may be infinite, are estimated very accurately by establishing definite rational polynomials. For infinite number of terms the sum infinite is obtained ... Sums of convergent series for any desired number of terms, which may be infinite, are estimated very accurately by establishing definite rational polynomials. For infinite number of terms the sum infinite is obtained by taking the asymptotic limit of the rational polynomial. A rational function with second-degree polynomials both in the numerator and denominator is found to produce excellent results. Sums of series with different characteristics such as alternating signs are considered for testing the performance of the proposed approach. 展开更多
关键词 Sums of Series rational polynomials Extrapolation to Limit Asymptotic Value
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Numerical solution to the Falkner-Skan equation:a novel numerical approach through the new rational α-polynomials
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作者 S.ABBASBANDY J.HAJISHAFIEIHA 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2021年第10期1449-1460,共12页
The new rationalα-polynomials are used to solve the Falkner-Skan equation.These polynomials are equipped with an auxiliary parameter.The approximated solution to the Falkner-Skan equation is obtained by the new ratio... The new rationalα-polynomials are used to solve the Falkner-Skan equation.These polynomials are equipped with an auxiliary parameter.The approximated solution to the Falkner-Skan equation is obtained by the new rational a-polynomials with unknown coefficients.To find the unknown coefficients and the auxiliary parameter contained in the polynomials,the collocation method with Chebyshev-Gauss points is used.The numerical examples show the efficiency of this method. 展开更多
关键词 Falkner-Skan equation rational Chebyshev polynomial mapping parameter collocation method singular Sturm-Liouville problem
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MHD Falkner-Skan flow of Maxwell fluid by rational Chebyshev collocation method 被引量:1
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作者 S.ABBASBANDY T.HAYAT +1 位作者 H.R.GHEHSAREH A.ALSAEDI 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2013年第8期921-930,共10页
The magnetohydrodynamics (MHD) Falkner-Skan flow of the Maxwell fluid is studied. Suitable transform reduces the partial differential equation into a nonlinear three order boundary value problem over a semi-infinite... The magnetohydrodynamics (MHD) Falkner-Skan flow of the Maxwell fluid is studied. Suitable transform reduces the partial differential equation into a nonlinear three order boundary value problem over a semi-infinite interval. An efficient approach based on the rational Chebyshev collocation method is performed to find the solution to the proposed boundary value problem. The rational Chebyshev collocation method is equipped with the orthogonal rational Chebyshev function which solves the problem on the semi-infinite domain without truncating it to a finite domain. The obtained results are presented through the illustrative graphs and tables which demonstrate the affectivity, stability, and convergence of the rational Chebyshev collocation method. To check the accuracy of the obtained results, a numerical method is applied for solving the problem. The variations of various embedded parameters into the problem are examined. 展开更多
关键词 Falkner-Skan equation Runge-Kutta method skin friction coefficient rational Chebyshev polynomial collocation method magnetohydrodynamics (MHD)Maxwell fluid
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Accuracy and Efficiency: The Comparison of Different RPC Parameters Solving Methods
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作者 Longhui Wang Tao Wang +1 位作者 Yan Zhang Kun Zhang 《Journal of Geoscience and Environment Protection》 2020年第10期117-126,共10页
<div style="text-align:justify;"> As a generalized sensor, the RPC model with its accuracy equally matches the physical sensor model. Moreover, the accurate positioning combining with the flexibility i... <div style="text-align:justify;"> As a generalized sensor, the RPC model with its accuracy equally matches the physical sensor model. Moreover, the accurate positioning combining with the flexibility in application leads the RPC model to be the priority in photogrammetry processing. Generally, the RPC model is calculated through a control grid. Different RPC parameters solving methods and the operation efficiency all serve as variables in the accuracy of the model. In this paper, the ridge estimation iterative method, spectrum correction iteration, and conjugate gradient method are employed to solve RPC parameters;the accuracy and efficiency of three solving methods are analyzed and compared. The results show that ridge estimation iterative method and spectrum correction iteration have obvious advantages in accuracy. The ridge estimation iterative method has fewer iteration times and time con-sumption, and spectrum correction iteration has more stable precision. </div> 展开更多
关键词 rational Polynomial Coefficients (RPC) Ridge Estimation Iterative Method Spectrum Correction Iteration Conjugate Gradient Method
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A Sylvester-Based IMEXMethod via Differentiation Matrices for Solving Nonlinear Parabolic Equations
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作者 Francisco de la Hoz Fernando Vadillo 《Communications in Computational Physics》 SCIE 2013年第9期1001-1026,共26页
In this paper we describe a new pseudo-spectral method to solve numerically two and three-dimensional nonlinear diffusion equations over unbounded domains,taking Hermite functions,sinc functions,and rational Chebyshev... In this paper we describe a new pseudo-spectral method to solve numerically two and three-dimensional nonlinear diffusion equations over unbounded domains,taking Hermite functions,sinc functions,and rational Chebyshev polynomials as basis functions.The idea is to discretize the equations by means of differentiation matrices and to relate them to Sylvester-type equations by means of a fourth-order implicit-explicit scheme,being of particular interest the treatment of three-dimensional Sylvester equations that we make.The resulting method is easy to understand and express,and can be implemented in a transparent way by means of a few lines of code.We test numerically the three choices of basis functions,showing the convenience of this new approach,especially when rational Chebyshev polynomials are considered. 展开更多
关键词 Semi-linear diffusion equations pseudo-spectral methods differentiation matrices Hermite functions sinc functions rational Chebyshev polynomials IMEX methods Sylvester equations BLOW-UP
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