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Question 1 Explain the use of algorithms in computing
Question 2 Explain time complexity and space complexity of an algorithm
Question 3 Explain how you can analyze efficiency of non-recursive algorithms?
Question 4 Discuss about Towers of Hanoi
Question 5 Explain Merge sort
Question 6 Explain Depth-first search (DFS)
Define Complete Binary Tree Complete Binary Tree:- A whole binary tree of depth d is that strictly binary tree all of whose leaves are at level D.
A queue is a, FIFO (First In First Out) list.
Explain the Arrays in Ruby Ruby arrays are dynamic arrays which expand automatically whenever a value is stored in a location beyond current end of the array. To the programmer
Implement multiple stacks in a single dimensional array. Write algorithms for various stack operations for them.
write a c++ program to find out the area of a curve y=f(x) between x=a and x=b
Illustrate the Back Face Detection Method A single polyhedron is a convex solid, which has no external angle between faces less than 180° and there is a simple object space me
REPRESENTATION OF ARRAYS This is not uncommon to determine a large number of programs which procedure the elements of an array in sequence. However, does it mean that the eleme
Define Big Theta notation Big Theta notation (θ) : The upper and lower bound for the function 'f' is given by the big oh notation (θ). Considering 'g' to be a function from t
(a) Describe the steps involved in the process of decision making under uncertainty. (b) Explain the following principles of decision making: (i) Laplace, (ii) Hurwicz. (c
In this section, we will discuss about Sequential file organization. Sequential files have data records stored in a particular sequence. A sequentially organized file might be stor
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