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Linked lists are among the most common and easiest data structures. They may be used to implement various other common abstract data types, including queues, stacks, symbolic expressions, and associative arrays, though it is not uncommon to execute the other data structures directly without using a list as the basis of implementation.
The principal benefit of a linked list over a conventional array is that the list components can easily be removed or inserted without reorganization or reallocation of the entire structure because the data items have not be stored contiguously in disk or on memory. Linked lists allow removal and insertion of nodes at any point in the list, and may do so with a constant number of functions if the link previous to the link being removed or added is maintained during list traversal.
On the other hand, simple linked lists by themselves do not allow random access to the data, or any form of accurate indexing. Thus, many basic operations - such as obtaining the last node of the list, or finding a node that retain a given locating, or datum the place where a new node could be inserted - may need scanning all or most of the list components.
A representation of an array structure is a mapping of the (abstract) array with elements of type T onto the store which is an array with elements of type BYTE. The array could be
Explain principle of Optimality It indicates that an optimal solution to any instance of an optimization problem is composed of optimal solutions to its subinstances.
The information in the table below is available for a large fund-raising project. a. Determine the critical path and the expected completion time of the project. b. Plot the total
Q. Suggest a method of implementing two stacks in one array such that as long as space is there in an array, you should be capable to add an element in either stack. Using proposed
Ask consider the file name cars.text each line in the file contains information about a car ( year,company,manufacture,model name,type) 1-read the file 2-add each car which is repr
Q. What do you mean by the best case complexity of quick sort and outline why it is so. How would its worst case behaviour arise?
for i=1 to n if a[i}>7 for j=2 to n a[j]=a{j}+j for n=2 to n a[k]=a[j]+i else if a[1]>4 && a[1] for 2 to a[1] a[j]= a{j]+5 else for 2to n a[j]=a[j]+i ..
Q.1 What is an algorithm? What are the characteristics of a good algorithm? Q.2 How do you find the complexity of an algorithm? What is the relation between the time and space c
Algorithm for determining strongly connected components of a Graph: Strongly Connected Components (G) where d[u] = discovery time of the vertex u throughout DFS , f[u] = f
N = number of rows of the graph D[i[j] = C[i][j] For k from 1 to n Do for i = 1 to n Do for j = 1 to n D[i[j]= minimum( d ij (k-1) ,d ik (k-1) +d kj (k-1)
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