Links: Difference between revisions
From phys660
Jump to navigationJump to search
(→Linux) |
No edit summary |
||
| Line 28: | Line 28: | ||
*[[Media:mlab_bench.pdf|Multithreaded MATLAB performance on selected multicore machines at UD]] | *[[Media:mlab_bench.pdf|Multithreaded MATLAB performance on selected multicore machines at UD]] | ||
*[http://www.mathworks.com/help/matlab/matlab_prog/techniques-for-improving-performance.html Techniques for improving performance] | *[http://www.mathworks.com/help/matlab/matlab_prog/techniques-for-improving-performance.html Techniques for improving performance] | ||
*[http://www.mathworks.com/help/distcomp/run-built-in-functions-on-a-gpu.html MATLAB built-in functions on GPU] | |||
== Fortran 90 == | == Fortran 90 == | ||
Revision as of 11:24, 16 March 2014
Numerical Analysis
- C. Moler, Numerical Computing with Matlab (SIAM, Philadelphia, 2004).
- W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery: Numerical Recipes: The Art of Scientific Computing (CUP, Cambridge, 2007).
- G. W. Recktenwald, Unavoidable errors in computing.
Unix
- Using VPN at UD
- Transfering Files: scp and sftp
- Using X-windows (X11) and secure shell (SSH) to connect to a remote UNIX server
- PuTTY SSH Client
- X Tunneling on Windows via Xming
- X Tunneling on MacOS
- Introduction to Emacs, Pico, and VI text editors
LaTeX
- Getting to Grips with LaTeX
- LaTeX Guide@Wikibooks
- REVTEX4 Authors' Guide
- How to use BibTeX
- JabRef manager for BibTeX entries
- PACS codes
MATLAB
- MATLAB Getting Started Guide
- The complete official MATLAB reference
- Running MATLAB m-files in background under Linux
- Calling C and Fortran from MATLAB using the MEX interface
- Multithreaded MATLAB performance on selected multicore machines at UD
- Techniques for improving performance
- MATLAB built-in functions on GPU
