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Decision Tree
A decision tree is a diagram that shows conditions and actions sequentially and therefore shows which condition is to be considered first, second and so on. It is also a method of showing the relationship of every condition and its permissible actions. In the decision tree, the root of the tree is the initial point of the decision sequence. The particular branch to be followed depends on the conditions that exist and decisions to be made progressing along a particular branch are the result of making a series of decisions
Tree is a widely used data structure employed for representing several problems. We studied tree like a special case of acyclic graph. Though, rooted trees are most prominent of al
What is a Spanning tree of a graph? A Spanning Tree is any tree having of vertices of graph tree and some edges of graph is known as a spanning tree.
for(int i = 0; i for (int j = n - 1; j >= i ; j--){ System.out.println(i+ " " + j);
How do you find the complexity of an algorithm? Complexity of an algorithm is the measure of analysis of algorithm. Analyzing an algorithm means predicting the resources that
What is the time complexity of Merge sort and Heap sort algorithms? Time complexity of merge sort is O(N log2 N) Time complexity of heap sort is O(nlog2n)
/* The program accepts matrix like input & prints the 3-tuple representation of it*/ #include void main() { int a[5][5],rows,columns,i,j; printf("enter the order of
Thus far, we have seen the demonstration of a single queue, but several practical applications in computer science needs several queues. Multi queue is data structure in which mult
Q. Write down the algorithm which does depth first search through an un-weighted connected graph. In an un-weighted graph, would breadth first search or depth first search or neith
Q. What is the need of using asymptotic notation in the study of algorithm? Describe the commonly used asymptotic notations and also give their significance.
a) Given a digraph G = (V,E), prove that if we add a constant k to the length of every arc coming out from the root node r, the shortest path tree remains the same. Do this by usin
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