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Matlab/Octave guides: - Introduction to Octave, Univ. of Cambridge
 - YAGTOM, Yet Another Guide to Matlab
 
In Finnish - Matlab miniopas
 - Lyhyt Matlab opas
 - "YAGTOM" muokattu ja osin suometettu
 
Mathworks: - MATLAB Tutorials
 - Matlab Central: Blogs
 - find-exercise, find, min/max
 - Data Fitting with MATLAB
 - Global minimization
 
 
Open courseware - 
MIT material
 - Berkeley
 
 
Books: - D.J. Higham- N.J. Higham: Matlab Guide, Siam 2005
 - m-files for the book
 - W.J. Palm: Intro to MATLAB for Engineers, Mc Graw Hill, 2011
 
 
- Moler:Experiments with MATLAB - Numerical Computing with MATLAB
 
Indexing tricks Indexing, repmat
 | Dates, times
 
  Mo 21.11 12-15
  Wed 23.11 12-15   Problems
  Wed 30.11 12-15
NOTE:  There is no session on Monday 28.11, the total number of sessions will be reduced to 3. 
 Topics touched:
 
 Efficient use of Matlab.
   
    Vectorization, preallocation, logical indexing, cell arrays, timing, profiling, sparce matrices, file handling, etc. (some more, some less)
    Parallel computing with Matlab's toolbox. Participants will get
access to 
triton.aalto.fi-cluster Parallel toolbox can be practiced on laptops, Triton-cluster has a larger number of 
"workers", ie. Matlab servers running in parallel.
 Examples vary from very basic for understanding toolbox usage possiblities 
to "interesting".
 Some, hopefully interesting examples enlightening the techniques taught and motivating their learning.
 Time permitting, some other Matlab tools, like symbolic toolbox, optimization etc.
  Course news [16.11.], extended: 12.4.2017  
Condor-question m-file
 For repeating and widening your knowledge, have a look at the YAGTOM-guide up left.
Includes among other things also useful efficiency aspects as preparation for the first lectures.
  Parallel computing references 
  #1. Efficient uses of Matlab, getting started with Parallel Toolbox  [21-23.11.16] Juha's materials Problems [23.11.]
 
 Slides/Live documents/Links:
 
 Some references to motivate further studies
 
  #3. Examples on passing parameters, "paramsweep", Batch, tasks, nsection/Newton run in parallel, GPU-computing  [30.11.16] 
 GPU-computing demos (directory) [Juha]  | 
GPU-computing demos (.zip)  [7.12.16]
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