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A toolbox for quantitative morphometric analysis of early development in spherical embryos, such as Xenopus laevis (African Clawed Frog). The toolbox is developed for Matlab 6.5 and higher and combines C-Mex code with Matlab functions.

The thesis titled "On the Recognition of Emotion from Physiological Data" This thesis was submitted by Warren Creemers In Partial Fulfillment of the Requirements for the award of Doctor of Philosophy, (Computer Science) and is currently under examination. Warren Creemers completed this work at the Faculty of Communications, Health and Science - Edith Cowan University in February, 2013.

This is a Matlab Code to build your own speed meter for a Powerball using a coil of enamelled copper wire, an audio cable and a computer with Matlab. Check the code at: http://ovilloenredado.blogspot.com/2009/01/lets-powerball-ii-diy-digital-speed.html

Matlab and Octave code to fit a mixture of Gaussians with covariance regularization to data using EM update rules.

This is a MATLAB toolbox that transforms optimal control problems into nonlinear programming problems, which can be solved using MATLAB or other solvers like SNOPT. The current version only interfaces with SNOPT. You will need MATLAB, along with symbolic and spline toolbox to run this code

This project is used to share code between collaborators on several projects pertaining to a class Numerical Physics class taken at Université Laval during the semester of Winter 2012.

... datasets. * Great modularity, each method can be used independently. * Wide range of optimization routine. Please contact us if you want to join the developers' team or, otherwirse, feel free to download and use the library in your code and send us feedbacks about existing bugs, possible improvements and further developments.

MatForce is a compiler that translates MatLab scripts into self-contained C++ code, producing human-readable, extensible C++ sources that can be fitted to the needs of the encapsulating application.

libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others...