International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 156 - Issue 14 |
Published: Dec 2016 |
Authors: Arindam Agarwal, Apoorv Gakhar, Narina Thakur |
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Arindam Agarwal, Apoorv Gakhar, Narina Thakur . Equipartition Search a New Algorithm for Searching. International Journal of Computer Applications. 156, 14 (Dec 2016), 46-50. DOI=10.5120/ijca2016912584
@article{ 10.5120/ijca2016912584, author = { Arindam Agarwal,Apoorv Gakhar,Narina Thakur }, title = { Equipartition Search a New Algorithm for Searching }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 156 }, number = { 14 }, pages = { 46-50 }, doi = { 10.5120/ijca2016912584 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Arindam Agarwal %A Apoorv Gakhar %A Narina Thakur %T Equipartition Search a New Algorithm for Searching%T %J International Journal of Computer Applications %V 156 %N 14 %P 46-50 %R 10.5120/ijca2016912584 %I Foundation of Computer Science (FCS), NY, USA
Searching finds wide application in computer systems and till date, it remains one of the most fundamental operation. The need for evolving searching algorithm is never ending. This paper focuses on proposing a new algorithm namely Equipartition search algorithm and compares this method to existing methods by searching in various sequences. Results have been compiled by taking running time as a major parameter. As evident from the results, the Equipartition search method performs better than compared algorithms for several distributions. Hence the proposed method helps to reduce the running time in searching operation.