... and this is where I find linked lists most useful these days, and I specifically find the "indexed linked list" variety useful since 32-bit indices halve the memory requirements of the links on 64-bit machines and they imply that the nodes are stored contiguously in an array. Specifically if you want to store something not too small and you have limited available memory you may not have enough. On the contrary, contiguous containers are better, @DavidStone Maybe I was not clear enough, but with that sentence I was referring to the fact that you don't need to have contiguous space in order to store your elements. So they can certainly be useful - a linked list is currently serving as one of the main supporting structures of at least one great new technology. Edit: I must say, I'm quite impressed by not only the number, but the quality of answers. difference in implementation of map and dictionary, List design (Object oriented) suggestion needed. They can be useful for concurrent data structures. When we want to store, say, a million variable-length sub-sequences averaging, say, 4 elements each (but sometimes with elements being removed and added to one of these sub-sequences), the linked list allows us to store 4 million linked list nodes contiguously instead of 1 million containers which are each individually heap-allocated: one giant vector, i.e., not a million small ones. Though I'm not sure if sparse-matrices are best implemented using linked lists - probably there is a better way, but it really helped learning the ins-and-outs of sparse matrices using linked lists in undergrad CS :). O(1), on arrays you have to relocate the array. What to do to speed up the paper publication process? An example that comes to mind might be if you were to be modelling a hanging chain. (...and nowhere else, than in one of the most commonly used .NET data structures ;-). In case you have missed, here is Neil's comment: "People (including me, I'm sorry to say) used to implement linked lists without pointers in languages like FORTRAN IV (which had no notion of pointers), much as they did trees. on lists you just redirect pointers. How many? Linked lists give you more control over the overall structure for such data structures. Well, agreed. Adding a new item means the array must be reallocated (or you must allocate more space than you need to allow for future growth and reduce the number of reallocations), Removing items leaves wasted space or requires a reallocation, inserting items anywhere except the end involves (possibly reallocating and) copying lots of the data up one position, on lists you just need to allocate memory for the new element and redirecting pointers. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. Point 3 only applies in languages that let you do it - C, C++, assembler good. Singly-linked lists are the obvious implementation of the common "list" data type in functional programming languages: By comparison, a vector or deque would typically be slow to add at either end, requiring (at least in my example of two distinct appends) that a copy be taken of the entire list (vector), or the index block and the data block being appended to (deque). There are the obvious built in data structures like objects and arrays and there are the modified data structures like Linked Lists. Mostly it's an attempt at seeing if anybody can come up with an answer that has a basis I could at least buy as being reasonable. Essentially, many linked lists are stored in an array. Most times I see people try to use linked lists, it seems to me like a poor (or very poor) choice. So then why are Linked Lists useful in software? Please do this to really seal the idea of a linked list in your brain. StringMatchQ fails using Alternatives with complex pattern. This is a comparison written taking into account Linked lists and arrays, which are implemented the way you, I and most people know. You do not want to perform a delete-from-middle-and-add-to-the-end on a vector or deque at every read access, but moving a node to the tail is typically fine. the plain .NET generic Dictionary
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