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Limitation of Binary Search: -
(i) The complexity of Binary search is O (log2 n). The complexity is similar irrespective of the position of the element, even if it is not present in the array.
(ii) The algorithm supposes that one has direct access to middle element in the list on a sub list. This means that the list must be kept in some type of array. Unfortunately inserting an element in an array requires element to be moved down the list and deleting an element from an array needs element to be moved up the list.
(iii) The list must be sorted.
Example of pre order traversal: Reading of a book, since we do not read next chapter unless we complete all sections of previous chapter & all its sections. Figure : Rea
for i=1 to n if a[i}>7 for j=2 to n a[j]=a{j}+j for n=2 to n a[k]=a[j]+i else if a[1]>4 && a[1] for 2 to a[1] a[j]= a{j]+5 else for 2to n a[j]=a[j]+i ..
Arrays :- To execute a stack we need a variable called top, that holds the index of the top element of stack and an array to hold the part of the stack.
Decision Tree - ID3 algorithm: Imagine you only ever do one of the following four things for any weekend: go shopping watch a movie play tennis just
#questionalgorithm for implementing multiple\e queues in a single dimensional array
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Addition of new records in a Binary tree structure always occurs as leaf nodes, which are further away from the root node making their access slower. If this new record is to be ac
Write an algorithm for binary search. Algorithm for Binary Search 1. if (low> high) 2. return (-1) 3. Mid = (low + high)/2 4. if ( X = = a[mid]) 5. return (mid); 6.
Describe an algorithm to play the Game of Nim using all of the three tools (pseudocode, flowchart, hierarchy chart)
Define Big Omega notation Big Omega notation (?) : The lower bound for the function 'f' is given by the big omega notation (?). Considering 'g' to be a function from the non-n
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