May 11th 2013
I’m please to announce a new version for scikits.optimization. The main focus of this iteration was to finish usual unconstrained optimization algorithms.
Changelog
The scikit can be installed with pip/easy_install or downloaded from PyPI
Old announces:
(No Ratings Yet)
Loading ...May 2nd 2013
In the next version of scikits.optimization, I’ve added some Quasi-Newton steps. Before this version is released, I thought I would compare several methods of optimizing the Rosenbrock function.
Continue Reading »
(No Ratings Yet) Loading ...December 18th 2012
Now that version 0.2 of scikit.optimization is out, here is a tutorial on the gradient-free optimizer based on the simplex algorithm.
When the only thing you have is the cost function and when you don’t have dozens of parameters, the first thing that can be tried is a simplex algorithm.
(No Ratings Yet) Loading ...November 15th 2012
It has been a while, too long for sure, since my last update on this scikit. I’m pleased to announce that some algorithms are finally fixed as well as some tests.
Changelog:
Additional tutorials will be available in the next weeks.
Old announces:
(No Ratings Yet) Loading ...July 5th 2011
I heard about Sage when I started learning Python, but I never quite gotten in the bandwagon. Now, this Beginner’s Guide seems a good place to start.
(No Ratings Yet) Loading ...March 8th 2011
When faced with a new dataset, the issue is to find how it should be analyzed. A lot of books addresses the theoretical way of doing it, but this book gives practical clues to do it. Besides, it isn’t based on commercial tools like MATLAB, but on open source tools that can be freely downloaded on the Internet.
(1 votes, average: 5.00 out of 5) Loading ...February 1st 2011
A few months ago, I’ve posted a note on an overdrive. The main issue of this kind of non-linear filter is aliasing, a process that adds digital acoustic content. The best way to solve the issue is to oversample the input before processing the signal.
(No Ratings Yet) Loading ...October 5th 2010
There are some effects that are simpler than other. Digital ones are generally easier than analog ones, and purely digital filter are also easier than digitally-transformed analog ones. Linear filters such as passband, cutband, … are easy to digitally design, chorus can be achieved through some spectral computations, delay and reverbation are computationnally expensive but easy to code.
It said that analog devices have a unique sound that digital devices cannot achieve. In fact, much is due to the simplications that occur when digitizing an analog device. One of the most blatant examples is the overdrive, which I took from Simulanalog.
Continue Reading »
(3 votes, average: 5.00 out of 5) Loading ...September 7th 2010
Today, I encountered an issue with subprocess calls. I was faced with the need of redirecting output streams from a subprocess call to the standard outputs and simultaneously to log files.
Continue Reading »
(No Ratings Yet) Loading ...August 10th 2010
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.
Continue Reading »
(No Ratings Yet) Loading ...
|
7,773,276 |
|
165 |
|
178 |
|
32 |
