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What do you mean by complexity of an algorithm?
The complexity of an algorithm M is the function f(n) which gives the running time and/or storage space need of the algorithm in terms of the size n of the input data. Frequently, the storage space needed by an algorithm is simply a multiple of the data size n. Thus, the term "complexity" shall refer to the running time of the algorithm.
In this unit, the following four advanced data structures have been practically emphasized. These may be considered as alternative to a height balanced tree, i.e., AVL tree.
Q. What do you understand by the term sparse matrix? How sparse matrix is stored in the memory of a computer? Write down the function to find out the transpose of a sparse matrix u
What are the Dynamic arrays Dynamic arrays are convenient for programmers since they can never be too small-whenever more space is needed in a dynamic array, it can simply be e
Your first task will be to come up with an appropriate data structure for representing numbers of arbitrary potential length in base 215. You will have to deal with large negative
Q1. Define the following terms: (i) Abstract data type. (ii) Column major ordering for arrays. (iii) Row major ordering for arrays. Q2. Explain the following: (i) A
Q. Write down an algorithm to convert an infix expression into the postfix expression. Ans. Algo rithm to convert infix expression to post fix expression is given as
implement multiple stacks ina single dimensional array. write algorithams for various stack operation for them.
In order to get the contents of a Binary search tree in ascending order, one has to traverse it in In-order
Q. Enumerate number of operations possible on ordered lists and arrays. Write procedures to insert and delete an element in to array.
merge sort process for an example array {38, 27, 43, 3, 9, 82, 10}. If we take a closer look at the diagram, we can see that the array is recursively divided in two halves till the
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