2015
DOI: 10.1016/j.amc.2015.03.024
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Chelyshkov collocation method for a class of mixed functional integro-differential equations

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Cited by 40 publications
(29 citation statements)
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“…Eventually, in order to find the Lucas polynomial solution of the problem (1)-(2), by replacing m row matrices (16) into any m rows of the form (15). Thus, we have the augmented matrix…”
Section: Lucas Matrix-collocation Techniquementioning
confidence: 99%
See 1 more Smart Citation
“…Eventually, in order to find the Lucas polynomial solution of the problem (1)-(2), by replacing m row matrices (16) into any m rows of the form (15). Thus, we have the augmented matrix…”
Section: Lucas Matrix-collocation Techniquementioning
confidence: 99%
“…In this paper, by considering the matrix technique based on collocation points, which have been used by Sezer and coworkers [5,6,[8][9][10][11][12][13][14][15][16][17][18][19], we purpose a new numerical technique to find an approximate solution of the problem (1)- (2). The solution is of the form…”
Section: Introductionmentioning
confidence: 99%
“…However, most of the mentioned type delay equations have not analytical and numerical solutions; therefore, numerical methods are required to obtain approximate solutions. For this purpose, by means of the matrix method based on collocation points which have been given by Sezer and coworkers [2,6,16,17,21,26,29,36], we develop a novel matrix technique to find the approximate solution of Eq. 1 under the initial condition yðaÞ ¼ k in the truncated Morgan-Voyce series form…”
Section: Introductionmentioning
confidence: 99%
“…However, most of the mentioned type delay equations have not analytical and numerical solutions; therefore, numerical methods are required to obtain approximate solutions. For this purpose, by means of the matrix method based on collocation points which have been given by Sezer and coworkers [2,6,16,17,21,26,29,36], we develop a novel matrix technique to find the approximate solution of Eq. 1 under the initial condition yðaÞ ¼ k in the truncated Morgan-Voyce series form y t ð Þ ffi y N t ð Þ ¼ X N n¼0 y n b n ðtÞ; a t b ð2Þ…”
Section: Introductionmentioning
confidence: 99%