Why so mainstream? the spinoff

Правка en2, от DanAlex, 2016-03-21 04:31:22

An intro would be also be kind of mainstream, but I'll still be...

Cutting to the chase

Rotations and balancing are kind of boring, but invariants are not. The nice thing about in looking for different solutions for the same problem is that you can find elegance in each of them. Maybe more importantly, it helps you develop backups when the first solution fails.

It is just the fact that sometimes to sell and start over is the right call. Of course, starting off with a small amount of one million dollars would do(couldn't help myself, people keep saying orange is the new black(now seriously: I say Donald, you say... Knuth))

Binary search tree

The problems is to implement the basic operations of a (STL's)set: * Insert * Delete * Search * Lower bound * Upper bound And so on...

The obvious slow solution is as always a list. We will try to improve it and blah, blah, blah. This is not helpful at all.

The lower and upper bounds keeps our attention. For those to be executed we need an order. A hash or whatever structure that keeps things unsorted is really hard to manage around this operation. Is the structure was static, binary search would have done the job.

From this point, I see some approaches: * leave gaps in a static structure * work with chunks of data * try to link data differently * work around binary search and make a structure that does it dynamically(that goes to BST)

I will focus on the last one, but all of them lead to interesting stuff. You can try to look up skiplists, for example.

Now, how binary works is that it looks first at the middle and then at another middle and so on. What if our structure does the exact same thing? If you draw a decision tree for a binary search, the thing that happens is that you put the middle in the top, then the middle of the left interval in left, the middle of the right interval in right and so on.

The cool things that we observe here are that: * the tree is balanced * all element in the left of a node are smaller that node and those in the right bigger

The BST is a binary tree that respects the second property.

Finding a structure that respects this property is not that hard(for example an ordered list works), but the thing that makes the decision tree above is the so called balance. Firstly, let's look why BST operations work good on average case and then try to add more invariants to make the structures good every time.

Searching

The search is straight forward. We look is the current node is what we are looking for, otherwise look in which part should we go. Here is some stolen wiki code just to be clear:

function search(node, value) {
    if (!node || node.value == value) {
        return node;
    } else {
        if (node.value > value) {
            return search(node.left, value);
        } else {
            return search(node.right, value);
        }
    }
}

История

 
 
 
 
Правки
 
 
  Rev. Язык Кто Когда Δ Комментарий
en19 Английский DanAlex 2017-08-08 03:32:22 7 Tiny change: 'n[cut]\n\nBinary' -> 'n[cut]\n\n\nBinary'
en18 Английский DanAlex 2017-08-08 03:27:34 9 Tiny change: 'uth)) \n\nBinary' -> 'uth)) \n\n[cut]\n\nBinary'
en17 Английский DanAlex 2016-03-22 03:06:15 106
en16 Английский DanAlex 2016-03-21 06:23:59 11 Tiny change: 'tree. \n\nPS \n----\n\nIn fac' -> 'tree. \n\n#### PS \n\nIn fac'
en15 Английский DanAlex 2016-03-21 06:23:38 3 Tiny change: 'ee. \n\nPS\n--\n\nIn f' -> 'ee. \n\nPS \n----\n\nIn f'
en14 Английский DanAlex 2016-03-21 06:23:12 0 Tiny change: '. \n\nPS\n--\n\nIn fac' -> '. \n\nPS\n\nIn fac'
en13 Английский DanAlex 2016-03-21 06:22:37 372 (published)
en12 Английский DanAlex 2016-03-21 06:19:25 364 Tiny change: ' a $O(log N)$ compl' -
en11 Английский DanAlex 2016-03-21 06:08:52 511
en10 Английский DanAlex 2016-03-21 05:50:57 978
en9 Английский DanAlex 2016-03-21 05:32:35 22
en8 Английский DanAlex 2016-03-21 05:32:05 4
en7 Английский DanAlex 2016-03-21 05:31:52 10
en6 Английский DanAlex 2016-03-21 05:31:16 212
en5 Английский DanAlex 2016-03-21 05:28:55 1836
en4 Английский DanAlex 2016-03-21 05:02:42 1261
en3 Английский DanAlex 2016-03-21 04:54:51 538
en2 Английский DanAlex 2016-03-21 04:31:22 2421
en1 Английский DanAlex 2016-03-21 03:44:36 692 Initial revision (saved to drafts)