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In the array implementation of lists, elements are stored into continuous locations. In order to add an element into the list at the end, we can insert it without any problem. But, assume if we desire to add the element at the starting or middle of the list, then we ought to rewrite all the elements after the position where the element ought to be added. We ought to shift (n)th element to (n+1)th position, where 'n' refer to number of elements in the list. The (n-1)thelement to (n)th position and it will continue till the ( r ) thelement to ( r + 1 )th position, where 'r' refer to the position of insertion. For doing this, thecount will be incremented.
From the above instance, if we desire to add element '35' after element '33'. We ought to shift 77 to the 8th position, 66 to the 7th position, so on, 44 to the 5th position.
Before Insertion
Count 1 2 3 4 5 6 7
11
22
33
44
55
66
77
Step 1
Count 1 2 3 4 5 6 7 8
Step 2
Step 3
Step 4
Step 5
35
Exact analysis of insertion sort: Let us assume the following pseudocode to analyse the exact runtime complexity of insertion sort. T j is the time taken to execute the s
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What is the best case complexity of quick sort In the best case complexity, the pivot is in the middle.
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I am looking for some help with a data mining class with questions that are about neural networks and decision trees. Can you help? I can send document with questions.
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