List here online resources (websites and videos) that you find.
Octave
The windows binary (executable) for Octave may be difficult to find so here's the URL: [http://octave.sourceforge.net/]
- The interface of Octave is pretty ugly (think DOS) so if that's not your cup of tea, there's a front end (GUI) for Octave for Windows here: [http://www.outsch.org/2011/01/29/qtoctave-0-10-1-for-windows/]
Install the front end by extracting files to its own directory and navigate to bin > qtoctave.exe
While opening, there will be an error, but go up to Config menu > General Configuration; click on Octave and find the '.exe' for Octave
Another front end is GUI Octave. It might actually be more user friendly. You can find it here: [http://sites.google.com/site/guioctave/]
- Justin K
Matlab Tutorials
The following site has an excellent tutorial that covers everything from simple functions and variables to linear equations and beyond. [http://www.isr.umd.edu/~austin/ence202.d/matlab-tutorial.html]
- Justin K
Getting started with Matlab. Part1,2,3,4,5 and 6 i think these tutorials are very straight forward
[http://www.math.siu.edu/matlab/tutorial1.pdf]
[http://www.math.siu.edu/matlab/tutorial2.pdf]
[http://www.math.siu.edu/matlab/tutorial3.pdf]
[http://www.math.siu.edu/matlab/tutorial4.pdf]
[http://www.math.siu.edu/matlab/tutorial5.pdf]
[http://www.math.siu.edu/matlab/tutorial6.pdf]
Atte: Abel Barraza
Linear Algebra Lectures
Lecture on Elimination:
[http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-2-elimination-with-matrices]
Lecture on Independence, Basis, and Dimension:
[http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-9-independence-basis-and-dimension]
Lecture on Properties of Determinants:
[http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-18-properties-of-determinants]
Lecture on Eigenvalues and Eigenvectors:
[http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/lecture-21-eigenvalues-and-eigenvectors]