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An Efficient Searching Technique by Colonization of Random Data Set Based On Dynamic Programming

机译:基于动态规划的随机数据集殖民化高效搜索技术

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The logarithmic behavior of Binary Search to find elements requires data set to be arranged in ascending or descending order. This paper introduces the concept of data colonization which means naturally ordered sub -sequences are grouped together to become a data colony so that any type of searching technique could be applied to any ordered sub-sequence independently. Addresses of the colonies i.e. starting and ending of colonies are remembered by using the concept of memorizations from dynamic programming. We have run different searching techniques in different colonies on the basis of the size o f the colony and results are satisfactory after comparing with sequential search. As we keep on increasing the size of the colonies by decreasing the colonizational density of data set, the hybrid memorized technique starts sho wing more logarithmic behavior rather linear even the list is not arranged
机译:二分查找元素的对数行为要求数据集按升序或降序排列。本文介绍了数据殖民化的概念,这意味着将自然有序的子序列组合在一起成为一个数据殖民地,以便任何类型的搜索技术都可以独立地应用于任何有序的子序列。通过使用动态编程中的记忆概念,可以记住菌落的地址,即菌落的开始和结束。根据菌落的大小,我们在不同菌落中使用了不同的搜索技术,与顺序搜索相比,结果令人满意。随着我们通过降低数据集的殖民化密度来不断增加殖民地的规模,混合记忆技术开始显示出更多的对数行为,甚至线性排列,即使列表未排列

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