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Linked List

Revision as of 23:50, 19 November 2009 by NorthWind87 (talk | contribs) (DISADVANTAGES: Well there has to be a downside!)

Linked Lists: A Conceptual Look

ABOUT: Why are we talking about linked lists?

I've been told that many of us are struggling with the creation of a successful, working Linked List. That's why this page is here.

This page is aimed at giving a conceptual overview of the uses and design elements of a linked list. Linked lists are flexible and powerful and can prove to be very useful tools in the arsenal of a UI designer or implementer. Therefore, having a linked list handy would make most hackers' lives a whole lot better :)

With that being said, read on!

DESIGN: What is a "linked List"?

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ADVANTAGES: So, what's so good about a linked list?

Linked Lists are large sprawling entities and can be extremely useful.

Non-Sequential Element Map

Linked Lists are like arrays except that where the elements of an array are laid out in sequential order in memory, the elements of a Linked List are all over the place with one element pointing to the next. This design is more flexible in that it allows the list to dynamically grow over time as opposed to being locked into a certain number of elements since the time of initialization.

Dynamic Insertion

Linked Lists also handle insertion at the midpoint much more gracefully and efficiently than an array. In order for an array to insert an element at the middle of it, it has to shift every subsequent element down the line by one. But what if the array is full? Then even worse, a whole new bigger array must be allocated! The exact sequence goes something like this:

  1. The first part of the old array must be copied into the new bigger array.
  2. Then the element to be inserted must be added to the current tail of the bigger array.
  3. Then finally, the second part of the old array must be added to the bigger array.


This is a very taxing process. With a linked list on the other hand, a node containing the data (or a reference to it) must be created then the two nodes that surround the required position must set their next and previous references to it, respectively. That's all! There is much less processing and much less brute force. However, this process entails considerable amounts of thought and overhead as we will see soon.

DISADVANTAGES: Well there has to be a downside!

Most of a linked list's disadvantages consist of speed issues.

Seek By Traversal

As opposed to a sequential array, linked lists cannot be randomly accessed. In computer science, we say that a linked list has access time O(n) where n is the number of elements in the array. This means that in the worst case, every single element of a linked list must be accessed before the desired index is reached. Compare this with the constant access time of a sequential array. In computer science, we say that an array has access time O(1); this means that regardless of which index you desire, the access time for it will always be the same. The reason for this is that arrays are laid out sequentially in memory which allows computers to access any one of their elements nearly instantaneously. The reason for this is that modern computers are built with the ability to read any given memory address at the exact same speed as reading any other memory address; we call this type of memory Random Access Memory.

Overhead

As well, linked lists can be a headache to implement (although very simple implementations can take no time at all!). As opposed to an array which is very simple to work with (trivial access, trivial assignment, trivial allocation, etc...), linked lists require a lot of processor overhead. This is mainly due to the fact that linked lists must be dynamically allocated piecemeal (ie one element at a time) and the fact that dynamic memory allocation itself isn't very fast. On top of that, every single action that a linked list can perform must be programmed. Linked lists are absolutely not trivial/native which is why they are always slower than sequential arrays when it comes to access, search, initialization/destruction, etc.

ELEMENTS: Nodes are everything!

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SEEK: Search speeds and indexing

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FLEXIBILITY: Data Types

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