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What do you mean by complexity of an algorithm?
The complexity of an algorithm M is the function f(n) which gives the running time and/or storage space need of the algorithm in terms of the size n of the input data. Frequently, the storage space needed by an algorithm is simply a multiple of the data size n. Thus, the term "complexity" shall refer to the running time of the algorithm.
A company is carrying out a survey by observing traffic at a road junction. Every time a car, bus or lorry passed by road junction it was noted down. 10 000 vehicles were counted d
A graph with n vertices will absolutely have a parallel edge or self loop if the total number of edges is greater than n-1
Explain in detail about the Ruby arrays Ruby arrays have many interesting and powerful methods. Besides indexing operations which go well beyond those discussed above, arrays h
What do you mean by hash clash? Hashing is not perfect. Occasionally, a collision occurs when two different keys hash into the same hash value and are assigned to the same arra
In worst case Quick Sort has order O (n 2 /2)
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
Explain an efficient way of storing two symmetric matrices of the same order in memory. A n-square matrix array is said to be symmetric if a[j][k]=a[k][j] for all j and k. For
Draw trace table and determine output from the subsequent flowchart using below data: X = 5, -3, 0, -3, 7, 0, 6, -11, -7, 12
Ask question 1. Indicate whether each of the following properties is true for every Huffman code. a. The codewords of the two least frequent symbols have the same length. b. The
Explain the Interfaces in Ruby Recall that in object-oriented programming, an interface is a collection of abstract operations that cannot be instantiated. Even though Ruby i
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