Search Results for "fitting"
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Showing 7 open source projects for "fitting"
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Arduino Primary Avionics Module (A-PAM)
A foundational avionics system for model rockets
..., the motors themselves tend to be rather expensive. My goal was to develop a system that could be used by high school students. It would involve proven rocket designs that could be flown on school yards. That meant it needed to be small, fitting everything into a body tube with a diameter no more than 42mm. This would allow it to use “D” or “E” motors. It would need to be flexible. I wanted the design to be a starting point to allow them to conduct real science and it had to be inexpensive. -
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basic_numerical_methods
Didactic application to aid students in learning Numerical Methods;
A practical tool (for students and engineers) to foresee the result of calculus exercises. Calculation and visualization numerical methods for nonlinear equation, ODE, integration, linear system, polynomial fitting,..... -
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VStar
Multi-platform Variable Star Visualisation and Analysis
VStar is a multi-platform, easy-to-use variable star observation visualisation and analysis tool. Data can be read from a file or the AAVSO database, light curves and phase plots created, period analysis performed, and filters applied. Plugins can be developed, e.g. to make additional observation sources available. See also: 1. http://www.aavso.org/vstar-overview 2. http://www.aavso.org/forums/about-aavso/vstar 3. http://dbenn.wordpress.com/category/astronomy-science/vstar 4.... -
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XmgFit
A wrapper to use Xmgrace's curve fitting capability on the shell.
XmgFit is a wrapper for Xmgrace (*) allowing to use comfortable the non-linear curve fitting capability of Xmgrace from the command line. Therefore the capabilities are limited by xmgrace. Please refer to the xmgrace users guide for more details. It is also handy to incorporate in shell scripts. The -s or --scripty option returns all result values xmgrace provide in an EVALuable format to make them easy available in shell scripts. *) http://plasma-gate.weizmann.ac.il/Grace/ -
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This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.
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Currently, this is an development version of our C++ template-based implementation of Levenberg-Marquardt minimizer.
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The Gauss–Newton algorithm is realized in NI LabVIEW 8.6. The program finds parameters of the chosen function as well as their corresponding uncertainties. It is used for educational purposes at undergraduate level.
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