Paper title:

A Comparative Study of Cocktail Sort and Insertion Sort

Published in: Issue 1, (Vol. 15) / 2021
Publishing date: 2021-04-19
Pages: 21-25
Author(s): KOMALASARI Carissa, ISTIONO Wirawan
Abstract. Sorting is one of the basic operations in Computer Science. This operation is often used to meet a variety of requirements, such as processing and sorting data. It is challenging to find the desired information in unsorted data. This is the reason why there are plenty of sorting algorithms exist to find the most efficient algorithm. This study compares the efficiency level of Cocktail sort and Insertion sort. The efficiency level measured by the execution time or the CPU usage time. Both algorithms were tested to sort a certain amount of random data with variation amount of data. The amount of data that will be used in this research is 1500, 3000, 4500 and 6000 data using C language. After testing and comparing the two algorithms, cocktail sort and insertion sort, the results shows that, the Insertion sort algorithm is proven to be more efficient and faster than the Cocktail sort algorithm.
Keywords: Cocktail Sort, Insertion Sort, CPU Times, Sorting

1. Andrei D. polyanin and alexander V. Manzhirov, Handbook of Integral Equations, CRC press, 2008.

2. Burden Richard L. and Faires J. Doudlas, Numerical Analysis, PWS publishing company, company, Boston? 2010.

3. Baker C.T.H , the numirecal Treatment of Integral Equations, Clarendom press, Oxford, 4th edition? 1977

4. Guangqing L. and Gnaneshwar N., Iteration methods for fredholm integral equations of the second kind, Computes and Mathematics with Applications, Vol. 53(2007) 886-894.

5. Grahan I.G and S. Joe and I.H. Sloan, Iterated Galerkin versus iterated collocation for integral equations of second kind, IMA J. Numer . Anal, 5 (1985)355-369.

6. Atkinson K.E., The numerical Solution of Integral equation of the second kind, cambridge University pree, Cambridge, 1977.

7. De Bonnis M. C . and Laurita C ., Numerical Treatment of second kind fredholm integral equation systems on Bounded Intervals , Journal of Computation and Applied Mathematics, (2008) 64-87.

8. Kaneko H. and Xn Y., Super convergence of the iterated Galerkin methods for Hammerstein equations, SIAM J. Numer. Anal., Vol 33 (1996) 1048-1064.

9. Shoukralla, E.S, An algorithm For The Solution Of a certain Singular Integral Equation Of The First Kind, Intern. J. Compute Math., Vol 69 (1998) 165-173.

10. Shoukralla, E. S, Approximate Solution to weakly singular integral equations J. Apple. Math. Modeling, Vol 20 (1996) 800-803.

11. Verlane A.F. and Cazakov V. C., Integral Equations, Nauka Domka, Kiev, USSR,1986.

12. Chen Z., Micchelli C.A and Xu Y., Fast collection methods for second kind integral equations, SIAM J. Numer. Anal., Vol 40 (2002) 344-375.

13. Richard L. Burden and J. Douglas Faires, "Numerical Analysis", Library of Congress, 2011

14. J. Rashidinia ∗, M. Zarebnia, "Convergence of approximate solution of system of Fredholm integral equations", J. Math. Anal. Appl. 333 (2007) 1216–1227.

15. H. Kaneko, Y. Xu, "Super convergence of the iterated Galerkin methods for Hammerstein equations", SIAM J. Numer. Anal., 33 (1996), pp. 1048–1064.

16. Guangqing Longa,b,_, Gnaneshwar Nelakantib,c, "Iteration methods for Fredholm integral equations of the second kind", Computers and Mathematics with Applications 53 (2007) 886–894.

17. 17 Graham I.G., S. Joe, I.H. Sloan, "Iterated Galerkin versus iterated collocation for integral equations of second kind", IMA J.Numer. Anal., 5 (1985), pp. 355–369

Back to the journal content
Creative Commons License
This article is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.
Home | Editorial Board | Author info | Archive | Contact
Copyright JACSM 2007-2021