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Richard Brown

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Company/University

Massey University

Personal Profile

Maths Lecturer at Massey University. Working on high performance computing and modelling.

Professional Interests

numerical analysis, modelling, computer vision, mathematical biology

990Rank
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380Score

Richard Brown submitted a Comment to Solution 110965

no it doesn't! it does something like: n = sqrt(sum(x.^2,2)); x = x ./ n(:, ones(1, size(x,2)));

on 13 Jul 2012

Richard Brown submitted a Comment to Solution 111016

No, gaming the test suite is out! Although Steve could yet make a mess of all this by using a polygon with floating point vertices ...

on 13 Jul 2012

Richard Brown submitted a Comment to Solution 111016

If there's any way this one could be deleted I'd like it to be, because I think it's cheating (and Sven and I had a good competition going on!)

on 12 Jul 2012

Richard Brown submitted a Comment to Solution 110965

Yeah, I tried all sorts of ways to do that too! I was trying to figure out a better way to normalise the matrix. I discovered normr, posted my solution, and then realised that it was actually a toolbox function. I'd be happy to have that entry removed :| If you replace the normalisation line with normr(diff(P)) you can get the 36

on 12 Jul 2012

Richard Brown submitted a Comment to Solution 111016

Aargh ... sorry, used a function from the neural network toolbox without realising it. Didn't know it existed (normr)

on 12 Jul 2012

Richard Brown received Leader badge for Solution 111016

on 12 Jul 2012

Richard Brown submitted a Comment to Solution 110965

Nicely done! Do you think we've converged on the optimum yet?

on 12 Jul 2012

Richard Brown submitted a Comment to Solution 110870

This one uses the best tool in MATLAB :)

on 11 Jul 2012