MATLAB Resources

TA Training Material Fall 2017

The training outline describing licensing and overall features of MATLAB can be downloaded below. 

Additional information, such as how to create basic column and row vectors and matrices can be downloaded either as a PDF file or as a MATLAB live script below.

A basic tutorial of matlab's functions is also attached.(Basic_Matlab_Stuff.mlx    ,   Basic_Matlab_stuff.pdf)

TA Training Material Fall 2018

The TA training for Fall of 2018 covered some more practical MATLAB concepts; specifically, how to use MATLAB to solve certain fundamental physics problems. The topics covered were Finite-Difference, Ordinary Differential equations, and Eigenvalue problems( Coupled Oscillators and Quantum Well Potentials).


These notes familiarizes the reader with plotting and data fitting in MATLAB. In the first part, a data set representing a radioactive decay is generated and displayed with plots widely used in data analysis. Next, the data is fitted with a script which plots the fit results, calculates the fit parameters and provides numerical data indicating the quality of the fit.  The data will be fit to linear, non-linear and custom models. 


These notes outline data fitting in the physical sciences using MATLAB’s versatile and powerful ‘fit’ function which utilizes a least-squares algorithm.  The emphasis is on how to use the fit function and interpreting the fit results; explanations on the theory of statistics are kept to a minimum. (Sources on MATLAB and Statistics are listed at the end.)  The entire fitting procedure is presented as a MATLAB Live Script, which can be modified to be used for any data as long the input is in the form of column vectors x, y, sig_y.  A PDF and HTML version of the Live Script has also been provided on the page listed above.


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Basic_Matlab_Stuff.mlx
(58k)
Brendan King,
Aug 30, 2017, 2:43 PM
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Brendan King,
Aug 30, 2017, 2:43 PM
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Brendan King,
Aug 30, 2017, 9:49 AM
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MatlabTraining2017AugV1a.mlx
(258k)
Brendan King,
Aug 30, 2017, 9:51 AM
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Brendan King,
Aug 30, 2017, 9:59 AM
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Matlabtraining2018v2.mlx
(130k)
Kevin Booth,
Sep 12, 2018, 6:51 AM
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Kevin Booth,
Sep 12, 2018, 7:02 AM
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faceoff.m
(0k)
Brendan King,
Aug 30, 2017, 3:09 PM
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Kevin Booth,
Sep 12, 2018, 7:04 AM
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ode.pdf
(158k)
Kevin Booth,
Sep 12, 2018, 7:04 AM
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