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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.
The key factors that have been discussed in this unit about the above mentioned data structures include complexity of code in terms of Big oh notation, cost involved in searching a node, the process of deletion of a node and the cost involved in inserting a node.
After going through this unit, you should be able to:
a) Find the shortest paths from r to all other nodes in the digraph G=(V,E) shown below using the Bellman-Ford algorithm (as taught in class). Please show your work, and draw the f
algorithms
Q. Write down a non recursive algorithm to traverse a binary tree in order. Ans: N on - recursive algorithm to traverse a binary tree in inorder is as
tree is graph or not
write an algorithm and draw a flowchart to calculate the perimeter and area of a circle
Q. Define the sparse metrics and also explain the representation of a 4X4 matrix using linked list. Ans: A matrix in which number of zero entries is quite h
Time Complexity:- The time complexity of an algorithm is the amount of time it requires to run to completion. Some of the reasons for studying time complexity are:- We may be in
1) Which graph traversal uses a queue to hold vertices which are to be processed next ? 2) Which of the graph traversal is recursive by nature? 3) For a dense graph, Prim's a
The maximum degree of any vertex in a simple graph with n vertices is (n-1) is the maximum degree of the vertex in a simple graph.
The total of time needed by an algorithm to run to its completion is termed as time complexity. The asymptotic running time of an algorithm is given in terms of functions. Th
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