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Implementions of several different algorithms for storing, querying, and modifying ordered data in Binary trees and variants

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Binary Tree and it's Variants

The 4 Tree Data structures – Binary Search Tree (unoptimized), AVL Tree, Treap, Splay Tree have been implemented in the JAVA programming language.

All the Tree Data structures implement the ITree interface which includes the methods – search, insert, delete, print.

The Node class defines the structure of the object that is used for forming the trees.

  • It has an integer value, a pointer to the left and right nodes.
  • It also has a float priority used for the implementation of the Treap and an integer height used for the implementation of the AVL tree.

Build instructions:

  • cd into the folder src/trees
  • Compile the files using the command: javac *.java
  • To test the tree data structures use the following commands:

java Main dataPoints intervalSize numTrials DataStructure RandomOrSequential

For example:

java Main 10 10000 10 1 R

where,

  • dataPoints – No. of different element numbers to run the tests for
  • intervalSize – The step by which the input size increases
  • numTrials – All operations are averaged over a no. of trials
  • RandomOrSequential - R – Random initialization of input
  • DataStructure ->
    1 – BST (Binary Search Tree)
    2 – Treap
    3 – Splay Tree
    4 – AVL Tree

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Implementions of several different algorithms for storing, querying, and modifying ordered data in Binary trees and variants

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