38 16 27 39 12 27 38 16 27 39 12 27 Recursive calls to mergesort 38 16 27 39 12 27 38 | 16 39 12 16 38 12 39 16 27 38 12 | 27 | 39 Merge steps 12 16 27 27 38 39
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- Suppose the following array were passed in to a mergesort algorithm: 42 39 87 21 56 93 43 35 and Draw what the array looks like after the first recursive call completes, then after the second recursive call (immediately before the final call to merge).01 .MODEL SMALL 02 .STACK 100H 03 .CODE 04 05 MOV AX, Өх3C 06 MOV BX, 0000000000001010B 07 ADD AX, BX 08 MOV BX, 14 09 SUB AX, BX 10 11 MOV AH, 04CH 12 INT 21Hjava quick sort use the skeleton code to do task below skeleton code 1 class QuicksortTester2 {34 /**5 * Quicksort algorithm (driver)6 */78 public void quicksort( int [ ] a )9 {10 quicksort( a, 0, a.length - 1 );11 }1213 /**14 * Internal quicksort method that makes recursive calls.15 * Uses median-of-three partitioning and a cut-off.16 */1718 public void quicksort( int [ ] a, int low, int high )19 {20 if( low + CUTOFF > high )21 insertionSort( a );22 else23 { // Sort low, middle, high24 int middle = ( low + high ) / 2;25 if( a[ middle ].compareTo( a[ low ] ) < 0 )26 swapReferences( a, low, middle );27 if( a[ high ].compareTo( a[ low ] ) < 0 )28 swapReferences( a, low, high );29 if( a[ high ].compareTo( a[ middle ] ) < 0 )30 swapReferences( a, middle, high );3132 // Place pivot at position high - 133 swapReferences( a, middle, high - 1 );34 int pivot = a[ high - 1 ];3536 // Begin partitioning37 int i, j;38 for( i = low, j = high - 1; ; )39 {40 while( a[ ++i ].compareTo(…
- Search 10 from the list 9 , 16 , 7 , 12 , 10 , 32 by using Recursive Linear search Algorithm.Apply the merge sort on the following list and sort the list in decreasing order: 91 98 29 93 98 53 68 33 33 47 You must show how the list is divided by the recursive calls to MERGE-SORT, then merged at each stage to obtain the final sorted list.Write the details algorithm and convert into java code for the solution of the following problem In this assignment, you are given a following table. You implement the table as an ADT by following methods. 1- Array based implementation 2- Reference based implementation 3- Binary search tree-based implementation You implement following TABLE ADT operations a) Insert a new item into a table b) Delete the item with a given search key from a table c) Retrieve the item with a given search key from a table City Country Population Athens Greece 2,500,000 Barcelona Spain 1,800,000 Cairo Egypt 9,500,000 London England 9,400,000 New York U.S.A. 7,300,000 Paris France 2,200,000 Rome Italy 2,800,000 Toronto Canada 3,200,000 Venice Italy 300,000
- Given these 8 numeric values to be sorted using the recursive Mergesort algorithm: 92 63 24 18 69 27 64 43 The list that will be passed to the first call of the Mergesort algorithm will be the entire list of values above. Show the list that will be passed to the 5th call of the Mergesort algorithm.105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 40 M ㅏ void sequence::insert(const value_type& entry) if(used capacity) { resize((1.5* capacity) + 1); } if (current_index >= used) { current_index = 0; } for (int i = used; i > current_index; i--) { data[i] = data[i-1];For a recursive binary search, put the following code in the correct order by dragging each line to the correct place. 1 2 A 5 60 7 8 ⠀ :::: if (right >= left) { if (array [mid] == item) return mid; int binarySearch(int array [], int left, int right, int item) { return binarySearch(array, left, mid - 1, item); if (array [mid] > item) return binary Search(array, mid+ 1, right, item); int mid=1+ (right - left) / 2; return -1; }
- Show a complete run of Quicksort on the following array X :X: 1 2 3 4 5 6 7 8 9 1017 5 -3 40 46 50 16 0 22 4 show all recursive calls using the stack below. Show the results of each call to below Split on a newline in the table to the left.Recursivle function to sort two arrays into one in cppExample : Array1[ 1,4,5,2,7,9] , Array2[ 10,3,6] , SortedArray[1,2,3,4,5,6,7,9,10]• Trace BinarySearch (array, 7, 9) using both iterative and recursive binary search functions. ( See pages 29-31 on slide) array[7] ={1, 3, 5, 6, 8, 10, 11}
