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If the list is modified anywhere, but close to a point, though that point might change here and then, still use a gap buffer (this is common in text editors) If the list is modified anywhere, but always close to the same point, use a gap buffer (I won't explain, but it also uses arrays like array lists) If you need to modify and access only the ends and beginnings (queue/stack), use ArrayDeque If the list is only modified at the end, use an array list. If the list has less than 100 elements, use an array list. People have been benchmarking, and figured out that for almost all usecases, even if in theory linked lists would be good in practice the alternatives are just faster: This makes a huge difference in practice. Furthermore, with linked lists we actually do have to allocate 10,000 individual (node) objects, instead of an array of 10,000 elements (like array list does), which, once again, is slower. Arrays and array lists, on the other hand, almost never get cache misses since the CPUs have been designed with arrays in mind. Those cache misses are often about 10 (but sometimes 100!) times slower than cache hits (correct predictions). Linked lists just happen to be built in a way such that predicting them is almost impossible, and an insane amount of so-called cache misses happen (often one cache miss per element). Memory caching bases on prediction of the CPU what the program could be doing next - and prediction can always go wrong. In this regard, linked lists are horrible. Additionally, allocating memory for an array of 10,000 elements is very fast, much faster than allocating 10,000 elements individually. In fact, they do a lot of advanced things, such as memory caching - which is a technique that I won't explain here, but I'll just tell you that it makes your computer run way faster. It just so turns out that computers are extremely fast when it comes to working with arrays - of course they are, because the chip designers have optimized their CPUs to be efficient with them.
#Array vs arraylist vs list vs linkedlist software
This is the answer a computer scientist would give you - but we are also software engineers, and we're concerned by how things look like in practice. (Java does not have an implementation of these by default.) Most notable are indexed search trees (or modified Fenwick trees), which are somewhat more complicated but they try to combine the two - slightly slower than the better of LinkedLists/ArrayLists for each operation, but somewhat faster than the worse. You might wonder, is there anything else than linked lists and array lists? Turns out that there's a ton of things. In other words, linked lists are good whenever you're doing a lot of operations close to each other.
![array vs arraylist vs list vs linkedlist array vs arraylist vs list vs linkedlist](https://www.freelancinggig.com/blog/wp-content/uploads/2018/05/Python-List-vs-Array-vs-Tuple.png)
So, if you want to modify indices i and j, then you can traverse to i, do your change, and if j is very close to i you can re-use the same iterator. Getting to index i still takes a lot of time but if you want to do a lot of changes, then you can do all of these changes during one iteration. iterator()) method, offering its own add() and remove() methods. Linked lists can be traversed using iterators which you can get with the. So where's the speed benefit? It's all about using iterators. Therefore, despite common belief, linked list's add/remove functions are not particularly faster than array list's when you're adding/removing elements in the middle. However, because linked lists don't have fast random access like arrays, getting to index i is already very slow. What the add function of a linked list does, is it starts iterating at the beginning, iterates to index i, and then adds an element there. However, there's one large caveat with linked lists you need to find the element first to add/remove them. Additionally, elements at the end (but only there) can be added or removed efficiently by an array list. Array lists have fast random access, so you can quickly access (and change, but not add/remove!) elements in the middle. Linked lists can add and remove elements quickly. In theory, each of the two has a set of operations which it does well on.