Difference between revisions of "MMS: Programming and Numerical Analysis"
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* [[Media:Taller_Aproximacion.docx| Class 4]] | * [[Media:Taller_Aproximacion.docx| Class 4]] | ||
* [[Media:Participacion_en_el_ingreso_del_10%_mejor_remunerado_de_la_poblacion.xls| Data 1]] | * [[Media:Participacion_en_el_ingreso_del_10%_mejor_remunerado_de_la_poblacion.xls| Data 1]] | ||
− | '[[Media:Participacion_en_el_ingreso_del_10%_peor_remunerado_de_la_poblacion.xls| Data 2]] | + | '''* [[Media:Participacion_en_el_ingreso_del_10%_peor_remunerado_de_la_poblacion.xls| Data 2]] |
'''3. Solution to linear algebraic equations I''' | '''3. Solution to linear algebraic equations I''' |
Revision as of 15:39, 5 September 2014
Course contents
- Matlab and Python [1]
1. Root finding and solutions to non-linear equations Notas
- Class 1
- Matlab Introduction Matlab Programming
- Article [2]
- IEEE Template [3]
2. Numerical approximation Rn
* 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