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Explain class P problems
Class P is a class of decision problems that can be solved in polynomial time by(deterministic) algorithms. This class of problems is known as polynomial.
When writing a code for a program that basically answers Relative Velocity questions how do you go at it? How many conditions should you go through?
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Q.1 Compare two functions n 2 and 2 n for various values of n. Determine when second becomes larger than first. Q.2 Why do we use asymptotic notation in the study of algorit
Krushkal's algorithm uses the concept of forest of trees. At first the forest contains n single node trees (and no edges). At each of the step, we add on one (the cheapest one) edg
Q. Make a BST for the given sequence of numbers. 45,32,90,34,68,72,15,24,30,66,11,50,10 Traverse the BST formed in Pre- order, Inorder and Postorder.
RENDERING, SHADING AND COLOURING By introducing hidden line removal we have already taken one step away from wire-frame drawings towards being able to realistically model and d
Define min-heap A min-heap is a complete binary tree in which each element is less than or equal to its children. All the principal properties of heaps remain valid for min-hea
Explain divide and conquer algorithms Divide and conquer is probably the best known general algorithm design method. It work according to the following general p
Q. Explain what do we understand by Binary Search Tree (BST)? Make a BST for the following given sequence of the numbers. 45, 32, 90, 21, 78, 65, 87, 132, 90, 96, 41, 74, 92
Compare zero-address, one-address, two-address, and three-address machines by writing programs to compute: Y = (A – B X C) / (D + E X F) for each of the four machines. The inst
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