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Implementing abstract data types
A course in data structures and algorithms is hence a course in implementing abstract data types. It may seem that we are paying a lot of attention to a minor topic however abstract data types are really the foundation of everything we do in computing. Our computations work on data. This data should represent things and be manipulated according to rules. These things and rules for their manipulation amount to abstract data types.
System defined data types:- These are data types that have been defined by the compiler of any program. The C language contains 4 basic data types:- Int, float, char and doubl
Program: Creation of a Circular linked list ALGORITHM (Insertion of an element into a Circular Linked List) Step 1 Begin Step 2 if the list is empty or new
A graph G might be defined as a finite set V of vertices & a set E of edges (pair of connected vertices). The notation utilized is as follows: Graph G = (V, E) Consider the g
There are three kinds of tree traversals, namely, Postorder , Preorder and Inorder. Preorder traversal: Each of nodes is visited before its children are visited; first the roo
Define Spanning Tree A Spanning Tree of a connected graph is its linked acyclic sub graph (i.e., a tree) that having all the vertices of the graph.
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
nested for loop for (i = 0; i for (j = 0; j sequence of statements } } Here, we observe that, the outer loop executes n times. Every time the outer loop execute
Q. Describe the representations of graph. Represent the graph which is given to us using any two methods Ans: The different ways by which we can represent graphs are:
Conversion of Forest into Tree A binary tree may be used to show an entire forest, since the next pointer in the root of a tree can be used to point to the next tree of the for
This notation gives an upper bound for a function to within a constant factor. Given Figure illustrates the plot of f(n) = O(g(n)) depend on big O notation. We write f(n) = O(g(n))
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