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All lists are linked lists; there is no such thing as a separate "sorted list". There are algorithms that can sort a list, of course, but they all work on linked lists.
There is no such thing. There are binary trees and linked lists.
The website linked below lists 49 different meanings for MET.
Linked lists are a good way to represent polynomials. The coefficients of each term would be a node in the linked list, with the first node representing X0 and each successive node representing the next higher power of X; X1, X2, etc.. To add two polynomials, you simply add the coefficients of like terms. To add linked lists, you simply add the values of like orders, i.e. you would add the first nodes together, the second terms together, the third terms together, and so on and so forth. You iterate through both polynomials (linked lists) and add the coefficients. You either generate a third linked list or you add the first to the second, as desired. You need to be able to handle list extension, and when you run out of terms on one list, you stop. In C or C++ (or other language supporting self referential structures) you can implement this simply by building a linked list and providing functions to iterate and add. If you have an OO language like C++ or JAVA, you can actually implement a class, creating a new type, polynomial, so that the interface could be as simple as... polynomial a (1, 2, 3, 4, 5); polynomial b (2, 4, 6, 0, 8, 10, 12); a = a+b; // the result would be a (3, 6, 9, 4, 13, 10, 12) Actual implementation is not shown, because that is a large effort, because the question only asked "how", and because we are not really here to do your homework.
A linked list is used in computer science to store data as a series of related nodes. Linked lists are used as the basis for abstract data types when programming. The chief advantage of a linked list is that data can be added or removed from the list without having to reorganize the whole list. A drawback to linked lists can be that it is difficult to sort, organize, or recall specific information from the list.
Linked lists are not ideally suited to the quicksort algorithm because linked lists do not provide constant-time random access. The most efficient means of implementing quicksort upon a list is to move all the elements to an array, sort the array using quicksort, then move the elements back into a list. This increases the complexity by O(n*2), which is costly, but is more than compensated for by the improved efficiency of sorting an array.
Linked lists use dynamic memory allocation (also called "heap memory allocation", as the linked list is stored in heap memory).
Data structures could be used to implement an efficient database. Linked lists for example will optimize insertion and deletion for ordered lists.
Circular linked lists are really no different to ordinary linked lists, other than that the tail node points back to the head node (and vice versa if the list is doubly-linked). Therefore the merge process is exactly the same: iterate through the second list and insert each node's data into the first list. Since lists are un-associated containers, it doesn't matter where the insertions occur but, by convention, insertions typically occur at the tail of the list. If an order must be maintain, an insertion sort should be employed instead. Note that if you need to maintain the original two lists (in their un-merged state), simply copy the first and insert the second into the copy instead.
list any six consteations
Data structures could be used to implement an efficient database. Linked lists for example will optimize insertion and deletion for ordered lists.