DocumentCode :
3703014
Title :
Vamonos: Embeddable visualizations of advanced algorithms
Author :
Brent Carmer;Mike Rosulek
Author_Institution :
Oregon State University
fYear :
2015
Firstpage :
1
Lastpage :
8
Abstract :
We present Vamonos: a new framework for algorithm visualization, designed from the beginning to support embedding, interaction, and unlimited scope. Visualizations are executed entirely client-side on any device that supports a modern web browser; they can be embedded into any website or online textbook. Users can specify breakpoints, watched variables, provide inputs to the algorithm (e.g., by drawing a graph using a mouse), and be prompted for interaction by the visualization. The core framework supports any algorithms and data structures that can be implemented in Javascript. We have implemented a wide range of visualizations of advanced algorithms topics, including dynamic programming and graph algorithms (e.g., spanning tree, max-flow, bipartite matching algorithms).
Keywords :
"Data visualization","Visualization","Algorithm design and analysis","Heuristic algorithms","Data structures","Libraries","Browsers"
Publisher :
ieee
Conference_Titel :
Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE
Print_ISBN :
978-1-4799-8454-1
Type :
conf
DOI :
10.1109/FIE.2015.7344263
Filename :
7344263
Link To Document :
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