This tutorial is about the splay tree, a self-balancing binary search tree. Key features: The key idea behind the splay tree is the splay function.

In this tutorial I will introduce the Swiss knife of all sequence manipulation data structure, one code that can (theoretically) solve every problem of this ...

Splay — это самобалансирующееся дерево поиска без явных ограничений на структуру. Поэтому мы его можем менять как угодно, а потом вызвать expose() пару раз и ...

It is my new splay tree source code (top-down, lazy update), which support modify (a element), sum (range), and reverse (range) queries. https://sites.google.

I chose Splay tree as my Balanced Binary Search Tree if I have to implement it. There are few reasons. It always give amortized O(lg n) time complexity.

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Splay trees can maintain a sequence of length n supporting reversing a subsequence for m times in O((n+m)logn) time.

First you need to implement the split and merge operations . Then you need to split the splay tree at the index l , Then again you have to split the right tree ...

One advantage of splay trees is that if we use it for Link/Cut tree, the complexity will be amortized , while if we use treaps, AVL or Red Black trees for that, ...

hello codeforces, I have been trying to learn about splay trees from this.In the analysis of alternate implementations insertion and deletion it has been ...