'2 node' presentation slideshows

2-3-4 Trees and Red-Black Trees

2-3-4 Trees and Red-Black Trees. Gordon College Prof. Brinton. Regular Binary Trees. Insertion sequence: 9, 5, 20, 3, 7, 15, 75, 6, 12, 17, 35, 100, 18, 25, 40. Insertion sequence: 5, 15, 20, 3, 9, 7, 12, 17, 6, 75, 100, 18, 25, 35, 40. Balanced Trees.

922 views • 66 slides

2-3-4 Trees and Red-Black Trees

2-3-4 Trees and Red-Black Trees. Gordon College Prof. Brinton. Regular Binary Trees. Insertion sequence: 9, 5, 20, 3, 7, 15, 75, 6, 12, 17, 35, 100, 18, 25, 40. Insertion sequence: 5, 15, 20, 3, 9, 7, 12, 17, 6, 75, 100, 18, 25, 35, 40. Balanced Trees.

682 views • 66 slides

Chapter 12: Advanced Implementations of Tables

696 views • 61 slides

Balanced Trees

621 views • 54 slides

Rank-Balanced Trees

Rank-Balanced Trees. Siddhartha Sen, Princeton University WADS 2009 Joint work with Bernhard Haeupler and Robert E. Tarjan. Observation. Computer science is (still) a young field. We often settle for the first (good) solution. It may not be the best: the design space is rich.

521 views • 42 slides

A Survey of Cluster Technologies

496 views • 41 slides

Lessons Learned While Deploying vSAN Two-Node Clusters

582 views • 31 slides

CS 240: Data Structures

251 views • 24 slides

Chapter 14 Multi-Way Search Trees

Modified. Chapter 14 Multi-Way Search Trees. Chapter Scope. Examine 2-3 and 2-4 trees Introduce the concept of a B-tree Example: specialized implementations of B-trees. Combining Tree Concepts. We've seen: general trees, with multiple children per node

360 views • 22 slides

2-4 Trees

2-4 Trees. Goal. Keep sorted lists subject to the following operations: find(x,L) insert(x,L) delete(x,L) catenate(L1,L2) : Assumes that all items in L2 are greater than all items in L1.

270 views • 17 slides

Chapter 46 2-4 Trees and B-Trees

130 views • 12 slides