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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.
(i) Consider a system using flooding with hop counter. Suppose that the hop counter is originally set to the "diameter" (number of hops in the longest path without traversing any
Q. Explain w hat are the stacks? How can we use the stacks to check whether an expression is correctly parentheses or not. For example (()) is well formed but (() or )()( is not w
how to calculate complexity of a program
In worst case Quick Sort has order O (n 2 /2)
What are stored and derived attributes? Stored attributes: The attributes kept in a data base are called stored attributes. Derived attributes: The attributes that are
Q. Calculate that how many key comparisons and assignments an insertion sort makes in its worst case? Ans: The worst case performance occurs in insertion
Explain an efficient and effective way of storing two symmetric matrices of the same order in the memory. A n-square matrix array will be symmetric if a[j][k]=a[k][j] for all j
Write an algorithm to count number of nodes in the circular linked list. Ans. Counting No of Nodes in Circular List Let list be a circular h
Program will demonstrate the insertion of an element at desired position /* Inserting an element into contiguous list (Linear Array) at particular position */ /* contiguous_
Determine the class invariants- Ruby Ruby has many predefined exceptions classes (like ArgumentError) and new ones can be created easily by sub-classing StandardError, so it's
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