Dynamic Pointer-Based Binary Search Trees.

So, Whats the best data structure we know? is it BST's with log n? or is it hash tables with constant time in most cases, well hash tables are good, collisions are bad!! so why not just find a way to store data with another layer which reduces time complexity. so the idea of DPB-BSTs is that, we have a linked list L, containg Nodes N, so each N has a BST B, with capacity C, such that the binary search tree in a previous node stores n*2 more nodes then the previous N. it creates a dynamic time complexity of O (2 * floor(log of number your loooking for))

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-07
DOI
https://doi.org/10.5281/zenodo.13899126
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
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article

Dynamic Pointer-Based Binary Search Trees.

Zenodo (CERN European Organization for Nuclear Research)
Algorithms and Data Compression
article

Dynamic Pointer-Based Binary Search Trees.

article en

Abstract

So, Whats the best data structure we know? is it BST's with log n? or is it hash tables with constant time in most cases, well hash tables are good, collisions are bad!! so why not just find a way to store data with another layer which reduces time complexity. so the idea of DPB-BSTs is that, we have a linked list L, containg Nodes N, so each N has a BST B, with capacity C, such that the binary search tree in a previous node stores n*2 more nodes then the previous N. it creates a dynamic time complexity of O (2 * floor(log of number your loooking for))

Zenodo (CERN European Organization for Nuclear Research)
Saint Joseph's University (US)
Openalex Percentile: Top 68%
Algorithms and Data Compression
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Dynamic Pointer-Based Binary Search Trees. · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS