Difference between revisions of "MMS: Programming and Numerical Analysis"
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* Matlab and Python [http://www.cert.org/flocon/2011/matlab-python-xref.pdf] | * Matlab and Python [http://www.cert.org/flocon/2011/matlab-python-xref.pdf] | ||
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'''2. Root finding and solutions to non-linear equations''' | '''2. Root finding and solutions to non-linear equations''' | ||
* [[Media:RootFinding.pdf| Class]] | * [[Media:RootFinding.pdf| Class]] | ||
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'''8. Numerical solution to PDEs II''' | '''8. Numerical solution to PDEs II''' | ||
* [[Media:Class3.pdf| Class 3]] | * [[Media:Class3.pdf| Class 3]] | ||
| − | * [[Media:IdealFlows.pdf| Ideal Flows]] | + | * [[Media:IdealFlows.pdf| Ideal Flows]] |
Revision as of 18:31, 3 February 2015
Syllabus
Course contents
1. Algoritmos (2 Semanas)
- Taller programación
- Matlab Introduction Matlab Programming
- Aprenda matlab como si estuviera en primero [1]
- Scilab [2]
- Matlab and Python [3]
2. Root finding and solutions to non-linear equations
5. Numerical derivation and integration
6. Ordinary differential equations
7. Partial differential equations
_______________________________________________________________
Course contents
1. Root finding and solutions to non-linear equations Notas
- Class 1
- Matlab Introduction Matlab Programming
- Article [6]
- IEEE Template [7]
2. Numerical approximation Rn
'Data 1' 'Data 2'
3. Solution to linear algebraic equations I
4. Solution to linear algebraic equations II
5. Numerical derivation and integration
6. Numerical solution to ODEs
7. Numerical solution to PDEs I
8. Numerical solution to PDEs II
