Implementation of Simple Additive Weighting Algorithm in Particular Instance (original) (raw)
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Experimental Based Selection of Best Sorting Algorithm 1
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Abstract: Sorting algorithm is one of the most basic research fields in computer science. Sorting refers to the operation of arranging data in some given order such as increasing or decreasing, with numerical data, or alphabetically, with character data. There are many sorting algorithms. All sorting algorithms are problem specific. The particular Algorithm one chooses depends on the properties of the data and operations one may perform on data. Accordingly, we will want to know the complexity of each algorithm; that is, to know the running time f(n) of each algorithm as a function of the number n of input elements and to analyses the space and time requirements of our algorithms. Selection of best sorting algorithm for a particular problem depends upon problem definition. Comparisons of sorting algorithms are based on different scenario. This work experimentally analyzes the performance of various sorting algorithms by calculating the execution time.
Experimental Based Selection of Best Sorting Algorithm
2012
Sorting algorithm is one of the most basic research fields in computer science. Sorting refers to the operation of arranging data in some given order such as increasing or decreasing, with numerical data, or alphabetically, with character data. There are many sorting algorithms. All sorting algorithms are problem specific. The particular Algorithm one chooses depends on the properties of the data and operations one may perform on data. Accordingly, we will want to know the complexity of each algorithm; that is, to know the running time f(n) of each algorithm as a function of the number n of input elements and to analyses the space and time requirements of our algorithms. Selection of best sorting algorithm for a particular problem depends upon problem definition. Comparisons of sorting algorithms are based on different scenario. This work experimentally analyzes the performance of various sorting algorithms by calculating the execution time.
An Efficient Optimized Sorting Technique Using Combination of Other Techniques
2020
The problem of sorting is a problem that arises frequently in computer programming and though which is need to be resolved. Many different sorting algorithms have been developed and improved to make sorting optimized and fast. As a measure of performance mainly the average number of operations or the average execution times of these algorithms have been compared. There is no one sorting method that is best for every situation. Some of the factors to be considered in choosing a sorting algorithm include the size of the list to be sorted, the programming effort, the number of words of main memory available,the size of disk or tape units, the extent to which the list is already ordered, and the distribution of values.
Sorting is one of the fundamental issues in computer science. Sorting problem gain more popularity, as efficient sorting is more important to optimize other algorithms e.g. searching algorithms. A number of sorting algorithms has been proposed with different constraints e.g. number of iterations (inner loop, outer loop), complexity, and CPU consuming problem. This paper presents a comparison of different sorting algorithms (Sort, Optimized Sort, Selection Sort, Quick Sort, and Merge Sort) with different data sets (small data, medium data, and large data), with Best Case, Average Case, and worst case constraint. All six algorithms are analyzed, implemented, tested, compared and concluded that which algorithm is best for small, average, and large data sets, with all three constraints (best case, average case, and worst case).
Selection of Best Sorting Algorithm
The problem of sorting is a problem that arises frequently in computer programming. Many different sorting algorithms have been developed and improved to make sorting fast. As a measure of performance mainly the average number of operations or the average execution times of these algorithms have been investigated and compared.There is no one sorting method that is best for every situation. Some of the factors to be considered in choosing a sorting algorithm include the size of the list to be sorted, the programming effort, the number of words of main memory available, the size of disk or tape units, the extent to which the list is already ordered, and the distribution of values
Study on sorting algorithm and position determining sort
Sorting is an important task in many computer applications. Efficiency is a crucial factor when the amount of data is large. Memory allocation in operating systems, networks and databases use sorting concept. There are many ways to implementing different sorting algorithms. Though the real challenge lies in the implementation and the theoretical concept is of mere importance. The new sorting algorithm proposed uses the divide and conquer technique to increase the time efficiency. A new sorting algorithm has been put forth and its advantages and disadvantages have been discussed. The proposed algorithm is compared with other existing sorting algorithms. Finally, the possible implementations of this algorithm have been implemented.