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Sorting is an essential operation which is widely used and is fundamental tosome very basic day to day utilities like searches, databases, social networksand much more. Optimizing this basic operation in terms of complexity as wellas efficiency is cardinal. Optimization is achieved with respect to space andtime complexities of the algorithm. In this paper, a novel left-fieldN-dimensional cartesian spaced sorting method is proposed by combining the bestcharacteristics of bucket sort, counting sort and radix sort, in addition toemploying hashing and dynamic programming for making the method more efficient.Comparison between the proposed sorting method and various existing sortingmethods like bubble sort, insertion sort, selection sort, merge sort, heapsort, counting sort, bucket sort, etc., has also been performed. The timecomplexity of the proposed model is estimated to be linear i.e. O(n) for thebest, average and worst cases, which is better than every sorting algorithmintroduced till date.

Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort