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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.
#What is the pointer
Please give the code to this programme
The simplest implementation of the Dijkstra's algorithm stores vertices of set Q into an ordinary linked list or array, and operation Extract-Min(Q) is just a linear search through
Problem Your LC code is stored in a memory location as shown and the variable name is LC LC Memory address Content(LC code)
Data type An implementation of an abstract data type on a computer. Therefore, for instance, Boolean ADT is implemented as the Boolean type in Java, and bool type in C++;
Best - Fit Method: - This method obtains the smallest free block whose size is greater than or equal to get such a block by traversing the whole free list follows.
How can we convert a graph into a tree ? Do we have any standardized algorithm for doing this?
Consider a linked list of n elements. What is the time taken to insert an element after an element pointed by some pointer? O (1)
Q. Enumerate number of operations possible on ordered lists and arrays. Write procedures to insert and delete an element in to array.
When there is requirement to access records sequentially by some key value and also to access records directly by the similar key value, the collection of records may be organized
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