red-black-tree

Based on this post, Time complexity of TreeMap operations- subMap, headMap, tailMap subMap() itself is O(1), and O(n) comes from iterating the sub map. So, why use get(key) then? We can use subMap(key, true, key, true) instead, which is O(1) and iterating this sub map is also O(1). Faster than get(key), which is O(log(n)). Something wrong here... We can use subMap(key, true, key, true) instead, which is O(1) This is correct and iterating this sub map is also O(1). O(n) comes from the question. The answer says nothing to imply this, which is good, because it's not true. Time complexity of

Is it ever possible for a red parent node to have just ONE black child node? I have been playing around with the Red/Black Tree simulator online and I can't manage to get a case of this to happen. The reason behind asking this is I believe I have an unnecessary IF in my code... if (temp_node->color == BLACK && node->color == RED) { node->color = BLACK; global_violation = false; } Thanks for any Feedback!! templatetypedef No, this isn't possible. Remember, that in a red/black tree, all paths from the root of the tree off of the tree must pass through the same number of black nodes (that's one

Has anyone seen an implementation of the STL where stl::set is not implemented as a red-black tree? The reason I ask is that, in my experiments, B-2B trees outperform stl::set (and other red-black tree implementations) by a factor of 2 to 4 depending on the value of B. I'm curious if there is a compelling reason to use red-black trees when there appear to be faster data structures available. Some folks over at Google actually built a B-tree based implementation of the C++ standard library containers. They seem to have much better performance than standard binary tree implementations. There is

I am using the Red-Black tree implementation written by Julian Bucknall in his well-known book, The Tomes Of Delphi . Source code can be downloaded here , and I am using the code as-is in Delphi 2010, with modifications to TdBasics.pas to let it compile in a modern version of Delphi (mostly commenting most of it out - only a few definitions are required by the tree code.) This is a well-known implementation by a famous author, in an often-recommended book. I feel I should be on solid ground using it. But I am encountering crashes using Delete() and Promote() . Stepping back to write unit tests

I am studying red-black trees and I am reading the Cormen's "Introduction to Algorithms" book. Now I am trying to create red-black tree with numbers 1-10 by using the pseudo-code described in the book - RB-INSERT-FIXUP(T, z). Here is the screenshot Everything was fine until I inserted number "6" into the tree. According to pseudo-code I get the following result As you can see all red-black tree requirements met, but I am confused because I know that red-black tree should be balanced on each step. I can manually perform "left-rotate" procedure with "2" and "4" and change the colours. In that

I have read many articles on Red black tree where it take O(log n) time for operations .I am not very clear how it works and how actually tree map uses red black tree algorithm to balance the tree compared to binary search tree. Ref Links https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/ Can anyone please explain with a example how the algorithm works. A red-black tree is a binary search tree. It's just a flavor of BST that has fancy versions of insert and delete operations that reorganize the tree as they run so that