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Quintic function

About: Quintic function is a research topic. Over the lifetime, 1677 publications have been published within this topic receiving 26780 citations.


Papers
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01 Jun 2016
TL;DR: In this article, a numerical method is proposed for the numerical solution of the Hirota equation by using collocation method with the quintic B-spline, which is shown to be unconditionally stable using von-Neumann technique.
Abstract: In the present article, a numerical method is proposed for the numerical solution of the Hirota equation by using collocation method with the quintic B-spline. The method is shown to be unconditionally stable using von-Neumann technique. To test accuracy the error norms L2, L∞ are computed. Two invariants of motion are predestined to determine the conservation properties of the problem, and the numerical scheme leads to careful and active results. Furthermore, interaction of two and three solitary waves is shown. These results show that the technique introduced here is plain to apply

13 citations

Posted Content
05 Mar 2009
TL;DR: In this article, the generalized Hyers-Ulam-Rassias stability of a generalized mixed type of quartic, cubic, quadratic and additive functional equations in quasi-Banach spaces was obtained.
Abstract: On the Hyers–Ulam–Rassias stability of a generalized mixed type of quartic, cubic, quadratic and additive functional equations in quasi-Banach spaces Abstract. In this paper, we obtain the general solution and the generalized Hyers–Ulam– Rassias stability of the following functional equation in quasi-Banach spaces f (x + ky) + f (x − ky) = k 2 f (x + y) + k 2 f (x − y) + 2(1 − k 2)f (x) + k 2 (k 2 − 1) 12 (˜ f (2y) − 4 ˜ f (y)) for fixed integers k with k = 0, ±1 where˜f (y) := f (y) + f (−y). The results achieved in this paper are comprehensive such that contain the results in papers obtained by I. [21] and also some other papers.

13 citations

Journal ArticleDOI
01 Jan 2020
TL;DR: In this article, a method for numerical solution of fractional strongly nonlinear Duffing oscillators with cubic-quintic-heptic nonlinear restoring force was proposed, based on the operational matrix.
Abstract: In this article, based on the operational matrix of fractional order integration, we introduce a method for the numerical solution of fractional strongly nonlinear Duffing oscillators with cubic-quintic-heptic nonlinear restoring force and then use it in some cases. For this purpose, concerning the Caputo sense, we implement the block-pulse wavelets matrix of fractional order integration. To reach this aim, we analyse the errors. The approach has been examined by some numerical examples and changes in coefficients as well as in the derivative of the equation too. It is shown that this method works well for all the parameters and order of the fractional derivative. Results indicate the precision and computational performance of the suggested algorithm.

13 citations

Proceedings ArticleDOI
01 Aug 2007
TL;DR: This work presents a very accurate floating point FPGA implementation of a Gaussian random number generator (GRNG) based on the inversion method, achieving a 185 MHz speed and a throughput of one sample per cycle on a Xilinx Virtex-II FPGa.
Abstract: In this work we present a very accurate floating point FPGA implementation of a Gaussian random number generator (GRNG) based on the inversion method. The inverse Gaussian cumulative distribution function (GCDF-1) is approximated using a quintic degree segment interpolation with Hermite coefficients and an accuracy-adaptative segmentation which divides the GCDF-1 into several non-uniform segments. Our architecture generates simple floating point samples of 32 bits with an accuracy of 20 bits of mantissa, achieving a 185 MHz speed and a throughput of one sample per cycle on a Xilinx Virtex-II FPGA.

13 citations

01 Jan 2012
TL;DR: A family of fourth and second-order accurate numerical schemes for the solution of nonlinear fourth-order boundary value problems (BVPs) with two-point boundary conditions is presented in this article.
Abstract: A family of fourth and second-order accurate numerical schemes is presented for the solution of nonlinear fourth-order boundary-value problems (BVPs) with two-point boundary conditions. Non-polynomial quintic spline functions are applied to construct the numerical algorithms. This approach generalizes nonpolynomial spline algorithms and provides a solution at every point of the range of integration. Two numerical examples are given to illustrate the applicability and efficiency of the reported algorithms.

13 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202397
2022254
2021109
2020104
201993
201893