8 posts tagged with math *and* computerscience. (View popular tags)

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Visualizing Algorithms shows you how computer algorithms can be represented visually, leading to better understanding of how the algorithms work:

"Have you ever implemented an algorithm based on formal description? It can be hard! Being able to see what your code is doing can boost productivity. Visualization does not supplant the need for tests, but tests are useful primarily for detecting failure and not explaining it. Visualization can also discover unexpected behavior in your implementation, even when the output looks correct."

posted by quiet earth on Jun 26, 2014 - 29 comments

"Have you ever implemented an algorithm based on formal description? It can be hard! Being able to see what your code is doing can boost productivity. Visualization does not supplant the need for tests, but tests are useful primarily for detecting failure and not explaining it. Visualization can also discover unexpected behavior in your implementation, even when the output looks correct."

posted by quiet earth on Jun 26, 2014 - 29 comments

5 Math experts split the check. From Math with Bad Drawings.

posted by zabuni on Aug 25, 2013 - 25 comments

posted by zabuni on Aug 25, 2013 - 25 comments

posted by albrecht on Nov 29, 2011 - 50 comments

Eleven Equations True Computer Science Geeks Should (at Least Pretend to) Know [more inside]

posted by Deathalicious on Nov 29, 2011 - 141 comments

posted by Deathalicious on Nov 29, 2011 - 141 comments

Measure-theoretic probability: Why it should be learnt and how to get started. The clickable chart of distribution relationships. Just two of the interesting and informative probability resources I've learned about, along with countless other tidbits of information, from statistician John D. Cook's blog and his probability fact-of-the-day Twitter feed ProbFact. John also has daily tip and fact Twitter feeds for Windows keyboard shortcuts, regular expressions, TeX and LaTeX, algebra and number theory, topology and geometry, real and complex analysis, and beginning tomorrow, computer science and statistics.

posted by grouse on Dec 5, 2010 - 17 comments

posted by grouse on Dec 5, 2010 - 17 comments

Ever wondered what comes next, and why? The On-Line Encyclopedia of Integer Sequences has the answers. (Previously.)

posted by parudox on Mar 10, 2009 - 33 comments

posted by parudox on Mar 10, 2009 - 33 comments

If you could use a great big free handbook of discrete math and algorithms, Jörg Arndt's fxtbook wants to be your friend. Plain text table of contents to whet your appetite.

posted by Wolfdog on Mar 5, 2008 - 11 comments

posted by Wolfdog on Mar 5, 2008 - 11 comments

Who can name the bigger number? I guarantee you will lose to the Busy Beavers. (No, infinity is not allowed, the bigger infinity is a different game.) The author also debunks in very simple terms the recent story that quantum computers perform calculations without being turned on. My first post and disclaimer: I know the author from our mutual field of quantum information.

posted by gregv on Mar 16, 2006 - 113 comments

posted by gregv on Mar 16, 2006 - 113 comments

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