About Computational Complexity
This app demonstrates the basic principles of computational complexity. The growth of a few typical Big-O functions are illustrated with an interactive graph, and live demonstrations of sorting algorithms can be run using...
This app demonstrates the basic principles of computational complexity. The growth of a few typical Big-O functions are illustrated with an interactive graph, and live demonstrations of sorting algorithms can be run using randomly generated data.
This app was developed at SUNY Binghamton, by Prof. Patrick H. Madden. Version 1.1 is an expansion on this, with the assistance a few students (primarily Keith Gardner, and undergrad, and Anthony Canino, an MS grad). We're working on the app as a fun project, and as a way to introduce ACM student group members to iOS programming.
The source for the app is available on Github; we'll be adding more algorithms and things, and if you're interested in helping out with the development, let us know!
https://github.com/keithgardner2/complexity
Yay computational complexity! Yay Hartmanis and Stearns!
Mar 31, 2014
Version 1.1
Added support for the iPhone and iOS 6.
More sorting algorithms have been added in, as well as methods to alter the sorting data to be ascending, descending, or with all values equal.
Previous Versions
Here you can find the changelog of Computational Complexity since it was posted on our website on 2023-07-03 11:49:21.
The latest version is 1.1 and it was updated on 2024-04-22 17:14:00. See below the changes in each version.
Computational Complexity version 1.1
Updated At: 2014-03-31
Changes: Mar 31, 2014
Version 1.1
Added support for the iPhone and iOS 6.
More sorting algorithms have been added in, as well as methods to alter the sorting data to be ascending, descending, or with all values equal.
Disclaimer
Official App Store Link
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