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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. Explain the sum of subset problem. Apply backtracking to solve the following instance of sum of subset problem: w= (3, 4, 5, 6} and d = 13. Briefly define the method using a sta
Asymptotic Analysis Asymptotic analysis is depending on the idea that as the problem size grows, the complexity can be defined as a simple proportionality to some known functio
Maximum numbers of nodes a binary tree of depth d The maximum numbers of nodes a binary tree of depth d can have is 2 d+1 -1.
In this part, students are allowed to implement the following simplifications in their table and data design. o Availability for the beauty therapists don't have to be considere
Suppose you are given the results of 5 games of rock-paper-scissors. The results are given to you on separate pieces of paper; each piece says either 'A' if the first person won, o
write a COBOL program to find the biggest of two numbers
Q. Implement a stack making use of the linked list. Show the PUSH and POP operations both. A n s . Stack implemantation using linked list # include # include
Ans: A procedure to reverse the singly linked list: reverse(struct node **st) { struct node *p, *q, *r; p = *st; q = NULL; while(p != NULL) { r =q;
example of stack using flowchart
Q. Enumerate number of operations possible on ordered lists and arrays. Write procedures to insert and delete an element in to array.
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