There are several available generic sorting algorithms that are highly optimized and are provided as part of standard programming libraries such as the qsort implementation of quicksort available through the C Standard library. In this work we present a practical algorithmic transformation that uses random sampling and ordered search, that can convert an existing implementation of any sorting algorithm X into a sorting algorithm Y of higher observed efficiency that still utilizes X for sorting. The resulting algorithm Y is a randomized algorithm of faster running time with high probability. Experimental results based on an implementation of the transformation support the efficiency claim. The transformation could be used as a wrapper for so...
This research delves into a comprehensive analysis of sorting algorithms, aiming to shed light on th...
Algorithms for sorting large datasets can be made more efficient with careful use of memory hierarch...
The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottle-neck that arises in the...
Abstract Quicksort was first introduced in 1961 by Hoare. Many variantshave been developed, the best...
Sample sort, a generalization of quicksort that partitions the input into many pieces, is known as t...
AbstractIn this paper, a refined deterministic sampling strategy is presented. It allows to improve ...
The following five algorithms for sorting in situ are examined: linear insertion sort, cksort, natu...
Previous schemes for sorting on general-purpose parallel machines have had to choose between poor lo...
One of the basic problems of Computer Science is sorting a list of items. It refers to the arrangeme...
Sorting is a basic task in many types of computer applications. Especially when large amounts of dat...
Randomized algorithms make random decisions throughout their operation. At first glance, making rand...
Abstract|Sorting is a fundamental algorithm used extensively in computer science as an interme-diate...
We present two stable mergesort variants, "peeksort" and "powersort", that exploit existing runs and...
The problem of determining the relative efficiencies of different sorting algo-rithms is discussed i...
International audienceWe describe a general framework for realistic analysis of sorting algorithms, ...
This research delves into a comprehensive analysis of sorting algorithms, aiming to shed light on th...
Algorithms for sorting large datasets can be made more efficient with careful use of memory hierarch...
The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottle-neck that arises in the...
Abstract Quicksort was first introduced in 1961 by Hoare. Many variantshave been developed, the best...
Sample sort, a generalization of quicksort that partitions the input into many pieces, is known as t...
AbstractIn this paper, a refined deterministic sampling strategy is presented. It allows to improve ...
The following five algorithms for sorting in situ are examined: linear insertion sort, cksort, natu...
Previous schemes for sorting on general-purpose parallel machines have had to choose between poor lo...
One of the basic problems of Computer Science is sorting a list of items. It refers to the arrangeme...
Sorting is a basic task in many types of computer applications. Especially when large amounts of dat...
Randomized algorithms make random decisions throughout their operation. At first glance, making rand...
Abstract|Sorting is a fundamental algorithm used extensively in computer science as an interme-diate...
We present two stable mergesort variants, "peeksort" and "powersort", that exploit existing runs and...
The problem of determining the relative efficiencies of different sorting algo-rithms is discussed i...
International audienceWe describe a general framework for realistic analysis of sorting algorithms, ...
This research delves into a comprehensive analysis of sorting algorithms, aiming to shed light on th...
Algorithms for sorting large datasets can be made more efficient with careful use of memory hierarch...
The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottle-neck that arises in the...