2012
DOI: 10.5899/2012/cna-00112
|View full text |Cite
|
Sign up to set email alerts
|

On Approximation and Numerical Solution of Fredholm-Hammerstein Integral Equations Using Multiquadric Quasi-interpolation

Abstract: Nonlinear integral equations are studied in relation to vehicular traffic, biology, the theory of optimal control, economics, etc. In this paper, we use a numerical method for solving nonlinear Fredholm-Hammerstein integral equations by using multiquadric quasiinterpolation method. Multiquadric quasi-interpolation is an useful instrument in approximation theory and its applications.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
2
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 10 publications
(10 reference statements)
0
2
0
Order By: Relevance
“…Notice that, as we can see in [9], the iterative scheme (10) needs,, in general, to perform fewer iterations to approximate the solution with a given tolerance. Thus, in the following section, by applying iterative process (10), we obtain better accuracy in our approach to the solution and with an similar operational cost to the application of iterative scheme (8). We can therefore conclude that the application of iterative scheme (10) is more efficient than the application of iterative scheme (8).…”
Section: Computational Costsupporting
confidence: 50%
See 2 more Smart Citations
“…Notice that, as we can see in [9], the iterative scheme (10) needs,, in general, to perform fewer iterations to approximate the solution with a given tolerance. Thus, in the following section, by applying iterative process (10), we obtain better accuracy in our approach to the solution and with an similar operational cost to the application of iterative scheme (8). We can therefore conclude that the application of iterative scheme (10) is more efficient than the application of iterative scheme (8).…”
Section: Computational Costsupporting
confidence: 50%
“…which uses the same inverse of the derivative operator in the second step. This iterative scheme achieves an efficient acceleration for the convergence of the Newton-type iterative scheme (8), see [9]. Thus, three are our main goals in this work.…”
Section: By Denotingmentioning
confidence: 99%
See 1 more Smart Citation
“…Generally, as Hammerstein type equations are nonlinear, there is no closed way method to solve such type of equations. So, different authors have introduced different approximation methods for solving Hammerstein type equations (see, for instance, [10,12,14,15,16,18,20,21,25,35,36,40]). Chidume and Zegeye [12,15,16] were the first to propose and study iterative processes for approximating the solution of (1.5).…”
Section: Introductionmentioning
confidence: 99%
“…Rabbani et al [4] used wavelet basis to approximate the solution of Fredholm-Hammerstein integral equations. Ezzati et al [5] presented Multiquadric Quasi-interpolation for solving nonlinear Fredholm-Hammerstein integral equations. Ordokhani [6] proposed Walsh-Hybrid Functions to solve Fredholm-Hammerstein integral equations.…”
Section: Introductionmentioning
confidence: 99%