and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority ...

Searching Graph Algorithms: Depth/Breadth First Search, Shortest Paths, Spanning Trees. P vs NP: definitions and familiarity NP complete problems. knowledge of writing programs in Python3. Python3 ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

The student is also exposed to the notion of a faster algorithm and asymptotic complexity through the O, big-Omega and big-Theta notations. In this module, the student will learn about the basics of ...

Explore the future of knowledge graphs and their role in scientific discovery, particularly in drug discovery advancements.

Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network ... which both use map data from OpenStreetMap (OSM).

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...