Efficiency of an algorithm depends on two parameters:1. Time Complexity2. An are ComplexityTime Complexity: Time complexity is characterized as the variety of times a specific instruction collection is executed rather than the complete time is taken. It is since the full time taken also depends on part external components like the compiler used, processor’s speed, etc.

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Space Complexity: space Complexity is the complete memory an are required by the routine for the execution.

Both are calculated as the function of input size(n).One essential thing right here is that in spite of these parameters the effectiveness of one algorithm also depends upon the nature and size that the input.Following is a quick revision sheet the you might refer at last minuteAlgorithmTime ComplexityBestAverageWorstSelection SortΩ(n^2)θ(n^2)O(n^2)Bubble SortΩ(n)θ(n^2)O(n^2)Insertion SortΩ(n)θ(n^2)O(n^2)Heap SortΩ(n log(n))θ(n log(n))O(n log(n))Quick SortΩ(n log(n))θ(n log(n))O(n^2)Merge SortΩ(n log(n))θ(n log(n))O(n log(n))Bucket SortΩ(n+k)θ(n+k)O(n^2)Radix SortΩ(nk)θ(nk)O(nk)
Also, see:Searching and Sorting articlesPrevious year GATE inquiries on SortingPlease compose comments if you discover anything incorrect, or you want to share much more information around the topic questioned above
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