August 31st 2010
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Loading ...Testing is one of the basis to create robust and correct code. O’Reilly has published in its “Beautiful” series a lot of books on different parts of the development process. This is the testing part.
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August 10th 2010
(No Ratings Yet) Loading ...My last blog post on optimization helped me generate orthogonal sequences. Now, I will use those sequences to separate two signals. The basic use case is a linear system with two inputs, one output, and instead of recording the response of one input at a time, one plays both inputs simultaneously with specific sequences so that they can be separated in another process.
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August 3rd 2010
(No Ratings Yet) Loading ...When twenty or so langage creators are put together to make a book, it can only be interesting. It’s a good revealer of character, as they tend to open their heart. In fact I think that’s exactly what happened in this book.
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July 27th 2010
(No Ratings Yet) Loading ...Although I’m fond of numerical optimization through gradients, … there are some times where a global optimization is much more powerfull. For instance, I have to generate two sequences/combs that are orthogonal and for which their autocorrelation is almost an impulse. The two combs have a fixed number of impulse, so it’s a perfect job for genetic algorithms.
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July 20th 2010
(No Ratings Yet) Loading ...I’ve recently bought a fourth generation Roomba, which is a vacuum cleaning robot. I bought this brand because it is well-known and has a good history of hackable robots. So the next step was to figure out how to hack it, and hence this book.
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July 13th 2010
(No Ratings Yet) Loading ...It’s been a while since I last blogged about manifold learning. I don’t think I’ll add much in terms of algorithms to the scikit, but now that a clear API is being defined (http://sourceforge.net/apps/trac/scikit-learn/wiki/ApiDiscussion), it’s time for the manifold module to comply to it. Also, documentation will be enhanced and some dependencies will be removed.
I’ve started a branch available on github.com, and I will some examples in the scikit as well. I may explain them here, but I won’t rewrite what is already published. A future post will explain the changes, and I hope that interested people will understand the modifications and apply them to my former posts. It’s just that I don’t have much time to change everything…
July 6th 2010
(No Ratings Yet) Loading ...After my last post on QtAgain, I’ve decided to test a few simple digital filters. I’ve tried to make them as generic as possible, and with a VST interface.
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June 29th 2010
(No Ratings Yet) Loading ...In my last post about optimization, I’ve derived my function analytically. Sometimes, it’s not as easy. Sometimes also, a simple gradient optimization is not enough.
scikits.optimization has a special class for handling numerical differentiation, and several tools for conjugate gradients.
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June 15th 2010
(No Ratings Yet) Loading ...We have now several petaflopic clusters available in the Top500. Of course, we are trying to get the most of their peak computational power, but I think we should sometimes also look at optimal resource allocation.
I’ve been thinking about this for several months now, for work that has thousands of tasks, each task being massively data parallel. Traditionnally, one launches a job through one’s favorite batch scheduler (favorite or mandatory…) with fixed resources and during an estimated amount of time. This may work well in research, but in the industrial world, there often a new job that arises and that needs part of your scarce resources. You may have to stop your work, loose your current advances and/or restart the job with less resources. And then the cycle goes on.
June 8th 2010
(No Ratings Yet) Loading ...After last week review, I’ve decided to try another book from a much higher standard publisher, Springer. The price is also far higher, but it covers what I think are the current best supports for building automation.
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