Difference between revisions of "MMS: Programming and Numerical Analysis"
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'''7. Partial differential equations''' | '''7. Partial differential equations''' | ||
* [[Media:Class5.pdf| Class ]] | * [[Media:Class5.pdf| Class ]] | ||
| − | * [[Media:DerivadasEspetrales.rar| Collocation spectral methods]] | + | * [[Media:DerivadasEspetrales.rar| Collocation spectral methods]] |
| − | * [[Media:IdealFlows.pdf| Ideal Flows]] | + | * [[Media:IdealFlows.pdf| Ideal Flows]] |
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Revision as of 16:26, 30 April 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
3. Solution to linear algebraic equations
4. Interpolation and Approximation
5. Numerical derivation and integration
6. Ordinary differential equations
7. Partial differential equations
