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An interactive binary search tree. The user may interact with the tree by performing rotations, balancing, insertions, and deletions. For educational purposes

aC++code which is written in "binary search tree" method,and works like dictionary(included each word and its meaning in a Node)this programe has to be able to add,update and pass the tree(in inorder way) which you definde.

Delphi class incapsulating functionality of Red-black binary search tree

CLAW is a C++ Library providing various tools in different domains, like a Tweener framework, BA©zier curves manipulation, a map with multiple value types, a binary search tree container implemented as an AVL and an implementation of the...

Binary search trees provide O(lg n) performance on average for important operations such as item insertion, deletion, and search operations. Balanced trees provide O(lg n) even in the worst case.
GNU libavl is the most complete,...

This demonstrates a simple binary search through sorted data.
A binary search is a basic algorithm provided by bisect in Python.
The binary search can be summarized by two lines of code:
item_insert_point =...

Writing a binary search algorithm is surprisingly error-prone. The solution: trick the built-in bisect module into doing it for you.

The documentation for bisect says that it works on lists, but it really works on anything with a...

This is an implementation of the binary search algorithm in (almost) one line. Given a number 'n' and a list 'L', the function returns the index of the number on the list, or -1.

an autoIt script to do binary search debugging. you'll need to install autoIt to use this script. the script is a framework to automate binary search debugging methodology.

this code is set up as an example of automated binary...

DSA extensions contains classes similar in purpose to the classes provided in java.util.

Currently, it contains sortable Lists and Maps, as well as a balanced binary search tree and a binary array search algorithm.

Binary tree as a PostgreSQL data type. This was a university class project and I don't intend to develop it further. Made in Visual Studio 2010 for PostgreSQL 9.0. DLL provided (debug build). May you find the code useful.

A data structure that holds a sorted collection of values, and supports efficient insertion, deletion, sorted iteration, and min/max finding. Values may sorted either based on their natural ordering, or on a key function (specified as an argument...

This is just a brute force implementation of k nearest neighbor search without using any fancy data structure, such as kd-tree. However it is the fastest knn matlab implementation I can find.

A partial sort mex function is implemented...

Creates blocks to provide autocomplete search on a predefined node/cck field to direct you to the corresponding node.

This is great if your members can mentally identify desired nodes by one field that is unique or rare for each node. A...

Drupal update search indexes by cron.
This module update search indexes at each node saving so your site is always up to date.
Be carefull, it can affect performances in site with intensive updates.

Search, view, and edit multiple data models without coding seperate services/DAOs. Existing codebase is completely configurable to define multiple data types and perform CRUD operations on each. Implemented using Spring Framework and related...

QuickMemoryFile is a free, open source Java library for quick and robust create of a binary file system and get need data based on key info.

This is an implementation of the java DOM specification that keeps allits "parsed-node" data in disk files instead of RAM. This means youcan create really big DOM trees an not use all your RAM.

BDD-Based Deductive Database, an implementation of Datalog that uses Binary Decision Diagrams as the underlying data structure. This allows it to represent exponentially-sized relations efficiently.

Casper Datasets is a robust in-memory data manipulation framework, which allows programmatic search / sort / indexing on relational data rows. Casper Datasets virtually eliminates the need for relational databases for basic data manipulation and...