and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity in terms of running time and space usage Create applications that are ...

data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, ...

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 ...

When I first started working with integral field spectroscopic (IFU) data, I was struck by how much complexity was being ...