Related
I use a lot of lists and arrays but I have yet to come across a scenario in which the array list couldn't be used just as easily as, if not easier than, the linked list. I was hoping someone could give me some examples of when the linked list is notably better.
Linked lists are preferable over arrays when:
you need constant-time insertions/deletions from the list (such as in real-time computing where time predictability is absolutely critical)
you don't know how many items will be in the list. With arrays, you may need to re-declare and copy memory if the array grows too big
you don't need random access to any elements
you want to be able to insert items in the middle of the list (such as a priority queue)
Arrays are preferable when:
you need indexed/random access to elements
you know the number of elements in the array ahead of time so that you can allocate the correct amount of memory for the array
you need speed when iterating through all the elements in sequence. You can use pointer math on the array to access each element, whereas you need to lookup the node based on the pointer for each element in linked list, which may result in page faults which may result in performance hits.
memory is a concern. Filled arrays take up less memory than linked lists. Each element in the array is just the data. Each linked list node requires the data as well as one (or more) pointers to the other elements in the linked list.
Array Lists (like those in .Net) give you the benefits of arrays, but dynamically allocate resources for you so that you don't need to worry too much about list size and you can delete items at any index without any effort or re-shuffling elements around. Performance-wise, arraylists are slower than raw arrays.
Arrays have O(1) random access, but are really expensive to add stuff onto or remove stuff from.
Linked lists are really cheap to add or remove items anywhere and to iterate, but random access is O(n).
Algorithm ArrayList LinkedList
seek front O(1) O(1)
seek back O(1) O(1)
seek to index O(1) O(N)
insert at front O(N) O(1)
insert at back O(1) O(1)
insert after an item O(N) O(1)
ArrayLists are good for write-once-read-many or appenders, but bad at add/remove from the front or middle.
To add to the other answers, most array list implementations reserve extra capacity at the end of the list so that new elements can be added to the end of the list in O(1) time. When the capacity of an array list is exceeded, a new, larger array is allocated internally, and all the old elements are copied over. Usually, the new array is double the size of the old one. This means that on average, adding new elements to the end of an array list is an O(1) operation in these implementations. So even if you don't know the number of elements in advance, an array list may still be faster than a linked list for adding elements, as long as you are adding them at the end. Obviously, inserting new elements at arbitrary locations in an array list is still an O(n) operation.
Accessing elements in an array list is also faster than a linked list, even if the accesses are sequential. This is because array elements are stored in contiguous memory and can be cached easily. Linked list nodes can potentially be scattered over many different pages.
I would recommend only using a linked list if you know that you're going to be inserting or deleting items at arbitrary locations. Array lists will be faster for pretty much everything else.
The advantage of lists appears if you need to insert items in the middle and don't want to start resizing the array and shifting things around.
You're correct in that this is typically not the case. I've had a few very specific cases like that, but not too many.
It all depends what type of operation you are doing while iterating , all data structures have trade off between time and memory and depending on our needs we should choose the right DS. So there are some cases where LinkedList are faster then array and vice versa . Consider the three basic operation on data structures.
Searching
Since array is index based data structure searching array.get(index) will take O(1) time while linkedlist is not index DS so you will need to traverse up to index , where index <=n , n is size of linked list , so array is faster the linked list when have random access of elements.
Q.So what's the beauty behind this ?
As Arrays are contiguous memory blocks, large chunks of them will be loaded into the cache upon first access this makes it comparatively quick to access remaining elements of the array,as much as we access the elements in array locality of reference also increases thus less catch misses, Cache locality refers to the operations being in the cache and thus execute much faster as compared to in memory,basically In array we maximize the chances of sequential element access being in the cache. While Linked lists aren't necessarily in contiguous blocks of memory, there's no guarantee that items which appear sequentially in the list are actually arranged near each-other in memory, this means fewer cache hits e.g. more cache misses because we need to read from memory for every access of linked list element which increases the time it takes to access them and degraded performance so if we are doing more random access operation aka searching , array will be fast as explained below.
Insertion
This is easy and fast in LinkedList as insertion is O(1) operation in LinkedList (in Java) as compared to array, consider the case when array is full, we need to copy contents to new array if array gets full which makes inserting an element into ArrayList of O(n) in worst case, while ArrayList also needs to update its index if you insert something anywhere except at the end of array , in case of linked list we needn't to be resize it, you just need to update pointers.
Deletion
It works like insertions and better in LinkedList than array.
Those are the most common used implementations of Collection.
ArrayList:
insert/delete at the end generally O(1) worst case O(n)
insert/delete in the middle O(n)
retrieve any position O(1)
LinkedList:
insert/delete in any position O(1) (note if you have a reference to the element)
retrieve in the middle O(n)
retrieve first or last element O(1)
Vector: don't use it. It is an old implementation similar to ArrayList but with all methods synchronized. It is not the correct approach for a shared list in a multithreading environment.
HashMap
insert/delete/retrieve by key in O(1)
TreeSet
insert/delete/contains in O(log N)
HashSet
insert/remove/contains/size in O(1)
In reality memory locality has a huge performance influence in real processing.
The increased use of disk streaming in "big data" processing vs random access shows how structuring your application around this can dramatically improve performance on a larger scale.
If there is any way to access an array sequentially that is by far the best performing. Designing with this as a goal should be at least considered if performance is important.
I think that main difference is whether you frequently need to insert or remove stuff from the top of the list.
With an array, if you remove something from the top of list than the complexity is o(n) because all of the indices of the array elements will have to shift.
With a linked list, it is o(1) because you need only create the node, reassign the head and assign the reference to next as the previous head.
When frequently inserting or removing at the end of the list, arrays are preferable because the complexity will be o(1), no reindexing is required, but for a linked list it will be o(n) because you need to go from the head to the last node.
I think that searching in both linked list and arrays will be o(log n) because you will be probably be using a binary search.
Hmm, Arraylist can be used in cases like follows I guess:
you are not sure how many elements will be present
but you need to access all the elements randomly through indexing
For eg, you need to import and access all elements in a contact list (the size of which is unknown to you)
Use linked list for Radix Sort over arrays and for polynomial operations.
1) As explained above the insert and remove operations give good performance (O(1)) in LinkedList compared to ArrayList(O(n)). Hence if there is a requirement of frequent addition and deletion in application then LinkedList is a best choice.
2) Search (get method) operations are fast in Arraylist (O(1)) but not in LinkedList (O(n)) so If there are less add and remove operations and more search operations requirement, ArrayList would be your best bet.
I did some benchmarking, and found that the list class is actually faster than LinkedList for random inserting:
using System;
using System.Collections.Generic;
using System.Diagnostics;
namespace ConsoleApplication1
{
class Program
{
static void Main(string[] args)
{
int count = 20000;
Random rand = new Random(12345);
Stopwatch watch = Stopwatch.StartNew();
LinkedList<int> ll = new LinkedList<int>();
ll.AddLast(0);
for (int i = 1; i < count; i++)
{
ll.AddBefore(ll.Find(rand.Next(i)),i);
}
Console.WriteLine("LinkedList/Random Add: {0}ms", watch.ElapsedMilliseconds);
watch = Stopwatch.StartNew();
List<int> list = new List<int>();
list.Add(0);
for (int i = 1; i < count; i++)
{
list.Insert(list.IndexOf(rand.Next(i)), i);
}
Console.WriteLine("List/Random Add: {0}ms", watch.ElapsedMilliseconds);
Console.ReadLine();
}
}
}
It takes 900 ms for the linked list and 100ms for the list class.
It creates lists of subsequent integer numbers. Each new integer is inserted after a random number which is already in the list.
Maybe the List class uses something better than just an array.
Arrays, by far, are the most widely used data structures. However, linked lists prove useful in their own unique way where arrays are clumsy - or expensive, to say the least.
Linked lists are useful to implement stacks and queues in situations where their size is subject to vary. Each node in the linked list can be pushed or popped without disturbing the majority of the nodes. Same goes for insertion/deletion of nodes somewhere in the middle. In arrays, however, all the elements have to be shifted, which is an expensive job in terms of execution time.
Binary trees and binary search trees, hash tables, and tries are some of the data structures wherein - at least in C - you need linked lists as a fundamental ingredient for building them up.
However, linked lists should be avoided in situations where it is expected to be able to call any arbitrary element by its index.
A simple answer to the question can be given using these points:
Arrays are to be used when a collection of similar type data elements is required. Whereas, linked list is a collection of mixed type data linked elements known as nodes.
In array, one can visit any element in O(1) time. Whereas, in linked list we would need to traverse entire linked list from head to the required node taking O(n) time.
For arrays, a specific size needs to be declared initially. But linked lists are dynamic in size.
I am learning about arrays, single linked list and double linked list now a days and this question came that
" What is the best option between these three data structures when it comes to fast searching, less memory, easily insertion and updating of things "
As far I know array cannot be the answer because it has fixed size. If we want to insert a new thing. it wouldn't always be possible. Double linked list can do the task but there will be two pointers needed for each node so there will be memory problem, so I think single linked list will fulfill all given requirements. Am I right? Please correct me if I am missing any point. There is also one more question that instead of choosing one of them, can I make combination of one or more data structures given here to meet all the requirements?
"What is the best option between these three data structures when it comes to fast searching, less memory, easily insertion and updating of things".
As far as I can tell Arrays serve the purpose.
Fast search: You could do binary search if array is sorted. You dont get that option in linkedlist
Less memory: Arrays will take least memory (but contiguous memory )
Insertion: Inserting in array is a matter of a[i] = "value". If array size is exceeded then simply export data into a new array. That is exactly how HashMaps / ArrayLists work under covers.
Updating things: Only Arrays provide you with Random access. a[i] ="new value".. updated in O(1) time if you know the index.
Each of those has its own benefits and downsides.
For search speed, I'd say arrays are better suitable due to the quick lookup times.
Since an array is a sequence of same-size elements, retrieving the value at an index is just memoryLocation + index * elementSize. For a linked list, the whole list needs traversing.
Arrays also win in the "less memory" category, since there's no need to store extra pointers.
For insertions, arrays are slow. You'll need to traverse the array, copy contents to a new array, assign the new array, delete the old one...
Insertions go much quicker in linked- or double lists, because it's just a matter of changing one or two pointers.
In the end, it all just depends on the use case. Are you inserting a lot? Then you probably want to consider a non-array structure.
Do you need many quick lookups? Consider those arrays again. Etc..
See also this question.
A linked list is usually the best choice when we don’t know in advance the number of elements we will have to store or the number can change dynamically.
Arrays have slow insertion and deletion times. To insert an element to the front or middle of the array, the first step is to ensure that there is space in the array for the new element, otherwise, the array needs to be RESIZED. This is an expensive operation. The next step is to open space for the new element by shifting every element after the desired index. Likewise, for deletion, shifting is required after removing an element. This implies that insertion time for arrays is Big O of n (O(n)) as n elements must be shifted.
Using static arrays, we can save some extra memory in
comparison to linked lists because we do not need to store pointers to the next node
a doubly-linked list support fast insertion/removal at their ends. This is used in LRU cache, where you need to enter new item to front and remove the oldest item from the end.
In C, which is more efficient in terms of memory management, a linked list or an array?
For my program, I could use one or both of them. I would like to take this point into consideration before starting.
Both link list and array have good and bad sides.
Array
Accessing at a particular position take O(1) time, because memory initialized is consecutive for array. So if address of first position is A, then address of 5th element if A+4.
If you want to insert a number at some position it will take O(n) time. Because you have to shift every single numbers after that particular position and also increase size of array.
About searching an element. Considering the array is sorted. you can do a binary search and accessing each position is O(1). So you do the search in order of binary search. In case the array is not sorted you have to traverse the entire array so O(n) time.
Deletion its the exact opposite of insertion. You have to left shift all the numbers starting from the place where you deleted it. You might also need to recrete the array for memory efficiency. So O(n)
Memory must be contiguous, which can be a problem on old x86 machines
with 64k segments.
Freeing is a single operation.
LinkList
Accessing at a particular position take O(n) time, because you have to traverse the entire list to get to a particular position.
If you want to insert a number at some position and you have a pointer at that position already, it will take O(1) time to insert the new value.
About searching an element. No matter how the numbers are arranged you have to traverse the numbers from front to back one by one to find your particular number. So its always O(n)
about deletion its the exact opposite of insertion. If you know the position already by some pointer suppose the list was like this . p->q->r you want to delete q all you need is set next of p to r. and nothing else. So O(1) [Given you know pointer to p]
Memory is dispersed. With a naive implementation, that can be bad of cache coherency, and overall take can be high because the memory allocation system has overhead for each node. However careful programming can get round this problem.
Deletion requires a separate call for each node, however again careful programming can get round this problem.
So depending on what kind of problem you are solving you have to choose one of the two.
Linked list uses more memory, from both the linked list itself and inside the memory manager due to the fact you are allocating many individual blocks of memory.
That does not mean it is less efficient at all, depending on what you are doing.
While a linked list uses more memory, adding or removing elements from it is very efficient, as it doesn't require moving data around at all, while resizing a dynamic array means you have to allocate a whole new area in memory to fit the new and modified array with items added/removed. You can also sort a linked list without moving it's data.
On the other hand, arrays can be substantially faster to iterate due to caching, path prediction etc, as the data is placed sequentially in memory.
Which one is better for you will really depend on the application.
I use a lot of lists and arrays but I have yet to come across a scenario in which the array list couldn't be used just as easily as, if not easier than, the linked list. I was hoping someone could give me some examples of when the linked list is notably better.
Linked lists are preferable over arrays when:
you need constant-time insertions/deletions from the list (such as in real-time computing where time predictability is absolutely critical)
you don't know how many items will be in the list. With arrays, you may need to re-declare and copy memory if the array grows too big
you don't need random access to any elements
you want to be able to insert items in the middle of the list (such as a priority queue)
Arrays are preferable when:
you need indexed/random access to elements
you know the number of elements in the array ahead of time so that you can allocate the correct amount of memory for the array
you need speed when iterating through all the elements in sequence. You can use pointer math on the array to access each element, whereas you need to lookup the node based on the pointer for each element in linked list, which may result in page faults which may result in performance hits.
memory is a concern. Filled arrays take up less memory than linked lists. Each element in the array is just the data. Each linked list node requires the data as well as one (or more) pointers to the other elements in the linked list.
Array Lists (like those in .Net) give you the benefits of arrays, but dynamically allocate resources for you so that you don't need to worry too much about list size and you can delete items at any index without any effort or re-shuffling elements around. Performance-wise, arraylists are slower than raw arrays.
Arrays have O(1) random access, but are really expensive to add stuff onto or remove stuff from.
Linked lists are really cheap to add or remove items anywhere and to iterate, but random access is O(n).
Algorithm ArrayList LinkedList
seek front O(1) O(1)
seek back O(1) O(1)
seek to index O(1) O(N)
insert at front O(N) O(1)
insert at back O(1) O(1)
insert after an item O(N) O(1)
ArrayLists are good for write-once-read-many or appenders, but bad at add/remove from the front or middle.
To add to the other answers, most array list implementations reserve extra capacity at the end of the list so that new elements can be added to the end of the list in O(1) time. When the capacity of an array list is exceeded, a new, larger array is allocated internally, and all the old elements are copied over. Usually, the new array is double the size of the old one. This means that on average, adding new elements to the end of an array list is an O(1) operation in these implementations. So even if you don't know the number of elements in advance, an array list may still be faster than a linked list for adding elements, as long as you are adding them at the end. Obviously, inserting new elements at arbitrary locations in an array list is still an O(n) operation.
Accessing elements in an array list is also faster than a linked list, even if the accesses are sequential. This is because array elements are stored in contiguous memory and can be cached easily. Linked list nodes can potentially be scattered over many different pages.
I would recommend only using a linked list if you know that you're going to be inserting or deleting items at arbitrary locations. Array lists will be faster for pretty much everything else.
The advantage of lists appears if you need to insert items in the middle and don't want to start resizing the array and shifting things around.
You're correct in that this is typically not the case. I've had a few very specific cases like that, but not too many.
It all depends what type of operation you are doing while iterating , all data structures have trade off between time and memory and depending on our needs we should choose the right DS. So there are some cases where LinkedList are faster then array and vice versa . Consider the three basic operation on data structures.
Searching
Since array is index based data structure searching array.get(index) will take O(1) time while linkedlist is not index DS so you will need to traverse up to index , where index <=n , n is size of linked list , so array is faster the linked list when have random access of elements.
Q.So what's the beauty behind this ?
As Arrays are contiguous memory blocks, large chunks of them will be loaded into the cache upon first access this makes it comparatively quick to access remaining elements of the array,as much as we access the elements in array locality of reference also increases thus less catch misses, Cache locality refers to the operations being in the cache and thus execute much faster as compared to in memory,basically In array we maximize the chances of sequential element access being in the cache. While Linked lists aren't necessarily in contiguous blocks of memory, there's no guarantee that items which appear sequentially in the list are actually arranged near each-other in memory, this means fewer cache hits e.g. more cache misses because we need to read from memory for every access of linked list element which increases the time it takes to access them and degraded performance so if we are doing more random access operation aka searching , array will be fast as explained below.
Insertion
This is easy and fast in LinkedList as insertion is O(1) operation in LinkedList (in Java) as compared to array, consider the case when array is full, we need to copy contents to new array if array gets full which makes inserting an element into ArrayList of O(n) in worst case, while ArrayList also needs to update its index if you insert something anywhere except at the end of array , in case of linked list we needn't to be resize it, you just need to update pointers.
Deletion
It works like insertions and better in LinkedList than array.
Those are the most common used implementations of Collection.
ArrayList:
insert/delete at the end generally O(1) worst case O(n)
insert/delete in the middle O(n)
retrieve any position O(1)
LinkedList:
insert/delete in any position O(1) (note if you have a reference to the element)
retrieve in the middle O(n)
retrieve first or last element O(1)
Vector: don't use it. It is an old implementation similar to ArrayList but with all methods synchronized. It is not the correct approach for a shared list in a multithreading environment.
HashMap
insert/delete/retrieve by key in O(1)
TreeSet
insert/delete/contains in O(log N)
HashSet
insert/remove/contains/size in O(1)
In reality memory locality has a huge performance influence in real processing.
The increased use of disk streaming in "big data" processing vs random access shows how structuring your application around this can dramatically improve performance on a larger scale.
If there is any way to access an array sequentially that is by far the best performing. Designing with this as a goal should be at least considered if performance is important.
I think that main difference is whether you frequently need to insert or remove stuff from the top of the list.
With an array, if you remove something from the top of list than the complexity is o(n) because all of the indices of the array elements will have to shift.
With a linked list, it is o(1) because you need only create the node, reassign the head and assign the reference to next as the previous head.
When frequently inserting or removing at the end of the list, arrays are preferable because the complexity will be o(1), no reindexing is required, but for a linked list it will be o(n) because you need to go from the head to the last node.
I think that searching in both linked list and arrays will be o(log n) because you will be probably be using a binary search.
Hmm, Arraylist can be used in cases like follows I guess:
you are not sure how many elements will be present
but you need to access all the elements randomly through indexing
For eg, you need to import and access all elements in a contact list (the size of which is unknown to you)
Use linked list for Radix Sort over arrays and for polynomial operations.
1) As explained above the insert and remove operations give good performance (O(1)) in LinkedList compared to ArrayList(O(n)). Hence if there is a requirement of frequent addition and deletion in application then LinkedList is a best choice.
2) Search (get method) operations are fast in Arraylist (O(1)) but not in LinkedList (O(n)) so If there are less add and remove operations and more search operations requirement, ArrayList would be your best bet.
I did some benchmarking, and found that the list class is actually faster than LinkedList for random inserting:
using System;
using System.Collections.Generic;
using System.Diagnostics;
namespace ConsoleApplication1
{
class Program
{
static void Main(string[] args)
{
int count = 20000;
Random rand = new Random(12345);
Stopwatch watch = Stopwatch.StartNew();
LinkedList<int> ll = new LinkedList<int>();
ll.AddLast(0);
for (int i = 1; i < count; i++)
{
ll.AddBefore(ll.Find(rand.Next(i)),i);
}
Console.WriteLine("LinkedList/Random Add: {0}ms", watch.ElapsedMilliseconds);
watch = Stopwatch.StartNew();
List<int> list = new List<int>();
list.Add(0);
for (int i = 1; i < count; i++)
{
list.Insert(list.IndexOf(rand.Next(i)), i);
}
Console.WriteLine("List/Random Add: {0}ms", watch.ElapsedMilliseconds);
Console.ReadLine();
}
}
}
It takes 900 ms for the linked list and 100ms for the list class.
It creates lists of subsequent integer numbers. Each new integer is inserted after a random number which is already in the list.
Maybe the List class uses something better than just an array.
Arrays, by far, are the most widely used data structures. However, linked lists prove useful in their own unique way where arrays are clumsy - or expensive, to say the least.
Linked lists are useful to implement stacks and queues in situations where their size is subject to vary. Each node in the linked list can be pushed or popped without disturbing the majority of the nodes. Same goes for insertion/deletion of nodes somewhere in the middle. In arrays, however, all the elements have to be shifted, which is an expensive job in terms of execution time.
Binary trees and binary search trees, hash tables, and tries are some of the data structures wherein - at least in C - you need linked lists as a fundamental ingredient for building them up.
However, linked lists should be avoided in situations where it is expected to be able to call any arbitrary element by its index.
A simple answer to the question can be given using these points:
Arrays are to be used when a collection of similar type data elements is required. Whereas, linked list is a collection of mixed type data linked elements known as nodes.
In array, one can visit any element in O(1) time. Whereas, in linked list we would need to traverse entire linked list from head to the required node taking O(n) time.
For arrays, a specific size needs to be declared initially. But linked lists are dynamic in size.
Why would someone want to use a linked-list over an array?
Coding a linked-list is, no doubt, a bit more work than using an array and one may wonder what would justify the additional effort.
I think insertion of new elements is trivial in a linked-list but it's a major chore in an array. Are there other advantages to using a linked list to store a set of data versus storing it in an array?
This question is not a duplicate of this question because the other question is asking specifically about a particular Java class while this question is concerned with the general data structures.
Another good reason is that linked lists lend themselves nicely to efficient multi-threaded implementations. The reason for this is that changes tend to be local - affecting only a pointer or two for insert and remove at a localized part of the data structure. So, you can have many threads working on the same linked list. Even more, it's possible to create lock-free versions using CAS-type operations and avoid heavy-weight locks altogether.
With a linked list, iterators can also traverse the list while modifications are occurring. In the optimistic case where modifications don't collide, iterators can continue without contention.
With an array, any change that modifies the size of the array is likely to require locking a large portion of the array and in fact, it's rare that this is done without a global lock across the whole array so modifications become stop the world affairs.
It's easier to store data of different sizes in a linked list. An array assumes every element is exactly the same size.
As you mentioned, it's easier for a linked list to grow organically. An array's size needs to be known ahead of time, or re-created when it needs to grow.
Shuffling a linked list is just a matter of changing what points to what. Shuffling an array is more complicated and/or takes more memory.
As long as your iterations all happen in a "foreach" context, you don't lose any performance in iteration.
Wikipedia has very good section about the differences.
Linked lists have several advantages
over arrays. Elements can be inserted
into linked lists indefinitely, while
an array will eventually either fill
up or need to be resized, an expensive
operation that may not even be
possible if memory is fragmented.
Similarly, an array from which many
elements are removed may become
wastefully empty or need to be made
smaller.
On the other hand, arrays allow random
access, while linked lists allow only
sequential access to elements.
Singly-linked lists, in fact, can only
be traversed in one direction. This
makes linked lists unsuitable for
applications where it's useful to look
up an element by its index quickly,
such as heapsort. Sequential access on
arrays is also faster than on linked
lists on many machines due to locality
of reference and data caches. Linked
lists receive almost no benefit from
the cache.
Another disadvantage of linked lists
is the extra storage needed for
references, which often makes them
impractical for lists of small data
items such as characters or boolean
values. It can also be slow, and with
a naïve allocator, wasteful, to
allocate memory separately for each
new element, a problem generally
solved using memory pools.
http://en.wikipedia.org/wiki/Linked_list
I'll add another - lists can act as purely functional data structures.
For instance, you can have completely different lists sharing the same end section
a = (1 2 3 4, ....)
b = (4 3 2 1 1 2 3 4 ...)
c = (3 4 ...)
i.e.:
b = 4 -> 3 -> 2 -> 1 -> a
c = a.next.next
without having to copy the data being pointed to by a into b and c.
This is why they are so popular in functional languages, which use immutable variables - prepend and tail operations can occur freely without having to copy the original data - very important features when you're treating data as immutable.
Besides inserting into the middle of the list being easier - it's also much easier to delete from the middle of a linked list than an array.
But frankly, I've never used a linked list. Whenever I needed fast insertion and deletion, I also needed fast lookup, so I went to a HashSet or a Dictionary.
Merging two linked lists (especially two doubly linked lists) is much faster than merging two arrays (assuming the merge is destructive). The former takes O(1), the latter takes O(n).
EDIT: To clarify, I meant "merging" here in the unordered sense, not as in merge sort. Perhaps "concatenating" would have been a better word.
A widely unappreciated argument for ArrayList and against LinkedList is that LinkedLists are uncomfortable while debugging. The time spent by maintenance developers to understand the program, e.g. to find bugs, increases and IMHO does sometimes not justify the nanoseconds in performance improvements or bytes in memory consumption in enterprise applicatons. Sometimes (well, of course it depends on the type of applications), it's better to waste a few bytes but have an application which is more maintainable or easier to understand.
For example, in a Java environment and using the Eclipse debugger, debugging an ArrayList will reveal a very easy to understand structure:
arrayList ArrayList<String>
elementData Object[]
[0] Object "Foo"
[1] Object "Foo"
[2] Object "Foo"
[3] Object "Foo"
[4] Object "Foo"
...
On the other hand, watching the contents of a LinkedList and finding specific objects becomes a Expand-The-Tree clicking nightmare, not to mention the cognitive overhead needed to filter out the LinkedList internals:
linkedList LinkedList<String>
header LinkedList$Entry<E>
element E
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First of all, in C++ linked-lists shouldn't be much more trouble to work with than an array. You can use the std::list or the boost pointer list for linked lists. The key issues with linked lists vs arrays are extra space required for pointers and terrible random access. You should use a linked list if you
you don't need random access to the data
you will be adding/deleting elements, especially in the middle of the list
For me it is like this,
Access
Linked Lists allow only sequential access to elements. Thus the algorithmic complexities is order of O(n)
Arrays allow random access to its elements and thus the complexity is order of O(1)
Storage
Linked lists require an extra storage for references. This makes them impractical for lists of small data items such as characters or boolean values.
Arrays do not need an extra storage to point to next data item. Each element can be accessed via indexes.
Size
The size of Linked lists are dynamic by nature.
The size of array is restricted to declaration.
Insertion/Deletion
Elements can be inserted and deleted in linked lists indefinitely.
Insertion/Deletion of values in arrays are very expensive. It requires memory reallocation.
Two things:
Coding a linked list is, no doubt, a bit more work than using an array and he wondered what would justify the additional effort.
Never code a linked list when using C++. Just use the STL. How hard it is to implement should never be a reason to choose one data structure over another because most are already implemented out there.
As for the actual differences between an array and a linked list, the big thing for me is how you plan on using the structure. I'll use the term vector since that's the term for a resizable array in C++.
Indexing into a linked list is slow because you have to traverse the list to get to the given index, while a vector is contiguous in memory and you can get there using pointer math.
Appending onto the end or the beginning of a linked list is easy, since you only have to update one link, where in a vector you may have to resize and copy the contents over.
Removing an item from a list is easy, since you just have to break a pair of links and then attach them back together. Removing an item from a vector can be either faster or slower, depending if you care about order. Swapping in the last item over top the item you want to remove is faster, while shifting everything after it down is slower but retains ordering.
Eric Lippert recently had a post on one of the reasons arrays should be used conservatively.
Fast insertion and removal are indeed the best arguments for linked lists. If your structure grows dynamically and constant-time access to any element isn't required (such as dynamic stacks and queues), linked lists are a good choice.
Here's a quick one: Removal of items is quicker.
Linked-list are especially useful when the collection is constantly growing & shrinking. For example, it's hard to imagine trying to implement a Queue (add to the end, remove from the front) using an array -- you'd be spending all your time shifting things down. On the other hand, it's trivial with a linked-list.
Other than adding and remove from the middle of the list, I like linked lists more because they can grow and shrink dynamically.
Arrays Vs Linked List:
Array memory allocation will fail sometimes because of fragmented memory.
Caching is better in Arrays as all elements are allocated contiguous memory space.
Coding is more complex than Arrays.
No size constraint on Linked List, unlike Arrays
Insertion/Deletion is faster in Linked List and access is faster in Arrays.
Linked List better from multi-threading point of view.
No one ever codes their own linked list anymore. That'd be silly. The premise that using a linked list takes more code is just wrong.
These days, building a linked list is just an exercise for students so they can understand the concept. Instead, everyone uses a pre-built list. In C++, based the on the description in our question, that'd probably mean an stl vector (#include <vector> ).
Therefore, choosing a linked list vs an array is entirely about weighing the different characteristics of each structure relative to the needs of your app. Overcoming the additional programming burden should have zero impact on the decision.
It's really a matter of efficiency, the overhead to insert, remove or move (where you are not simply swapping) elements inside a linked list is minimal, i.e. the operation itself is O(1), verses O(n) for an array. This can make a significant difference if you are operating heavily on a list of data. You chose your data-types based on how you will be operating on them and choose the most efficient for the algorithm you are using.
Arrays make sense where the exact number of items will be known, and where searching by index makes sense. For example, if I wanted to store the exact state of my video output at a given moment without compression I would probably use an array of size [1024][768]. This will provide me with exactly what I need, and a list would be much, much slower to get the value of a given pixel. In places where an array does not make sense there are generally better data types than a list to deal with data effectively.
as arrays are static in nature, therefore all operations
like memory allocation occur at the time of compilation
only. So processor has to put less effort at its runtime .
Suppose you have an ordered set, which you also want to modify by adding and removing elements. Further, you need ability to retain a reference to an element in such a way that later you can get a previous or next element. For example, a to-do list or set of paragraphs in a book.
First we should note that if you want to retain references to objects outside of the set itself, you will likely end up storing pointers in the array, rather than storing objects themselves. Otherwise you will not be able to insert into array - if objects are embedded into the array they will move during insertions and any pointers to them will become invalid. Same is true for array indexes.
Your first problem, as you have noted yourself, is insertion - linked list allows inserting in O(1), but an array would generally require O(n). This problem can be partially overcome - it is possible to create a data structure that gives array-like by-ordinal access interface where both reading and writing are, at worst, logarithmic.
Your second, and more severe problem is that given an element finding next element is O(n). If the set was not modified you could retain the index of the element as the reference instead of the pointer thus making find-next an O(1) operation, but as it is all you have is a pointer to the object itself and no way to determine its current index in the array other than by scanning the entire "array". This is an insurmountable problem for arrays - even if you can optimized insertions, there is nothing you can do to optimize find-next type operation.
In an array you have the privilege of accessing any element in O(1) time. So its suitable for operations like Binary search Quick sort, etc. Linked list on the other hand is suitable for insertion deletion as its in O(1) time. Both has advantages as well as disadvantages and to prefer one over the other boils down to what you want to implement.
-- Bigger question is can we have a hybrid of both. Something like what python and perl implement as lists.
Linked List
Its more preferable when it comes about insertion! Basically what is does is that it deals with the pointer
1 -> 3 -> 4
Insert (2)
1........3......4
.....2
Finally
1 -> 2 -> 3 -> 4
One arrow from the 2 points at 3 and the arrow of 1 points at 2
Simple!
But from Array
| 1 | 3 | 4 |
Insert (2)
| 1 | 3 | | 4 |
| 1 | | 3 | 4 |
| 1 | 2 | 3 | 4 |
Well anyone can visualize the difference!
Just for 4 index we are performing 3 steps
What if the array length is one million then? Is array efficient?
The answer is NO! :)
The same thing goes for deletion!
In Linked List we can simply use the pointer and nullify the element and next in the object class!
But for array, we need to perform shiftLeft()
Hope that helps! :)
Linked List are more of an overhead to maintain than array, it also requires additional memory storage all these points are agreed. But there are a few things which array cant do. In many cases suppose you want an array of length 10^9 you can't get it because getting one continous memory location has to be there. Linked list could be a saviour here.
Suppose you want to store multiple things with data then they can be easily extended in the linked list.
STL containers usually have linked list implementation behind the scene.
1- Linked list is a dynamic data structure so it can grow and shrink at runtime by allocating and deallocating memory. So there is no need to give an initial size of the linked list. Insertion and deletion of nodes are really easier.
2- size of the linked list can increase or decrease at run time so there is no memory wastage. In the case of the array, there is a lot of memory wastage, like if we declare an array of size 10 and store only 6 elements in it then space of 4 elements is wasted. There is no such problem in the linked list as memory is allocated only when required.
3- Data structures such as stack and queues can be easily implemented using linked list.
Only reason to use linked list is that insert the element is easy (removing also).
Disadvatige could be that pointers take a lot of space.
And about that coding is harder:
Usually you don't need code linked list (or only once) they are included in
STL
and it is not so complicated if you still have to do it.
i also think that link list is more better than arrays.
because we do traversing in link list but not in arrays
Depending on your language, some of these disadvantages and advantages could be considered:
C Programming Language: When using a linked list (through struct pointers typically), special consideration must be made sure that you are not leaking memory. As was mentioned earlier, linked lists are easy to shuffle, because all were doing is changing pointers, but are we going to remember to free everything?
Java: Java has an automatic garbage collect, so leaking memory won't be an issue, but hidden from the high level programmer is the implementation details of what a linked list is. Methods such as removing a node from the middle of the list is more complicated of a procedure than some users of the language would expect it to be.
Why a linked list over an array ? Well as some have already said, greater speed of insertions and deletions.
But maybe we don't have to live with the limits of either, and get the best of both, at the same time... eh ?
For array deletions, you can use a 'Deleted' byte, to represent the fact that a row has been deleted, thus reorging the array is no longer necessary. To ease the burden of insertions, or rapidly changing data, use a linked list for that. Then when referring to them, have your logic first search one, then the other. Thus, using them in combination gives you the best of both.
If you have a really large array, you could combine it with another, much smaller array or linked list where the smaller one hold thes 20, 50, 100 most recently used items. If the one needed is not in the shorter linked list or array, you go to the large array. If found there, you can then add it to the smaller linked list/array on the presumption that 'things most recently used are most likey to be re-used' ( and yes, possibly bumping the least recently used item from the list ). Which is true in many cases and solved a problem I had to tackle in an .ASP security permissions checking module, with ease, elegance, and impressive speed.
While many of you have touched upon major adv./dis of linked list vs array, most of the comparisons are how one is better/ worse than the other.Eg. you can do random access in array but not possible in linked list and others. However, this is assuming link lists and array are going to be applied in a similar application. However a correct answer should be how link list would be preferred over array and vice-versa in a particular application deployment.
Suppose you want to implement a dictionary application, what would you use ?
Array : mmm it would allow easy retrieval through binary search and other search algo .. but lets think how link list can be better..Say you want to search "Blob" in dictionary. Would it make sense to have a link list of A->B->C->D---->Z and then each list element also pointing to an array or another list of all words starting with that letter ..
A -> B -> C -> ...Z
| | |
| | [Cat, Cave]
| [Banana, Blob]
[Adam, Apple]
Now is the above approach better or a flat array of [Adam,Apple,Banana,Blob,Cat,Cave] ? Would it even be possible with array ?
So a major advantage of link list is you can have an element not just pointing to the next element but also to some other link list/array/ heap/ or any other memory location.
Array is a one flat contigous memory sliced into blocks size of the element it is going to store.. Link list on the other hand is a chunks of non-contigous memory units (can be any size and can store anything) and pointing to each other the way you want.
Similarly lets say you are making a USB drive. Now would you like files to be saved as any array or as a link list ? I think you get the idea what I am pointing to :)