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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.
create aset of ten numbers.then you must divide it into two sets numbers which are set of odd numbers and set of even numbers.
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Give the example of bubble sort algorithm For example List: - 7 4 5 3 1. 7 and 4 are compared 2. Since 4 3. The content of 7 is now stored in the variable which was h
what is frequency count
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Q. Write down the algorithm for binary search. Which are the conditions under which sequential search of a list is preferred over the binary search?
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The complexity of multiplying two matrices of order m*n and n*p is mnp
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