Difference between revisions of "MMS: Programming and Numerical Analysis"
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| + | == Syllabus == | ||
| + | |||
| + | * [[Media:Sibanalysis.pdf| Syllabus]] | ||
| + | |||
| + | == Course contents == | ||
| + | |||
| + | '''1. Algoritmos (3 Semanas)''' | ||
| + | * [[Media:tallerProgramacionI.pdf| Taller programación parte I]] | ||
| + | * [[Media:Tallerprog2.pdf| Taller programación parte I y II]] | ||
| + | * Scilab [http://www.scilab.org/] | ||
| + | * Aprenda matlab como si estuviera en primero [http://www.fiwiki.org/images/d/db/Aprenda_Matlab_7_como_si_estuviera_en_primero.pdf] | ||
| + | |||
| + | '''2. Root finding and solutions to non-linear equations''' [[Media:NotasPAN2014IIP1.png| Notas]] | ||
| + | * [[Media:RootFinding.pdf| Class]] | ||
| + | * [[Media:MatlabCourse.pdf| Matlab Introduction ]] [[Media:ProgrammingWithMATLAB.pdf | Matlab Programming ]] | ||
| + | * Article [http://persson.berkeley.edu/pub/wang_et_al2012highorder.pdf] | ||
| + | * IEEE Template [http://www.ieee.org/publications_standards/publications/conferences/msw_usletter_format_nov12.doc] | ||
| + | |||
| + | |||
| + | '''5. Numerical derivation and integration''' | ||
| + | * [[Media:Class2.pdf| Class]] | ||
| + | * [[Media:fd.pdf| Finite Differences Schemes ]] | ||
| + | * [[Media:Fornberg 1998 - Calculation of Weights in Finite Difference Formulas.pdf| Fornberg article]] | ||
| + | * Codigo [[fdcoeffF.m]] | ||
| + | |||
| + | '''6. Ordinary differential equations''' | ||
| + | * [[Media:Class31.pdf| Class]] | ||
| + | |||
| + | '''7. Partial differential equations''' | ||
| + | * [[Media:Class5.pdf| Class ]] | ||
| + | * [[Media:DerivadasEspetrales.rar| Collocation spectral methods]] | ||
| + | * [[Media:IdealFlows.pdf| Ideal Flows]] | ||
| + | |||
| + | _______________________________________________________________ | ||
| + | |||
| + | == Course contents == | ||
| + | |||
| + | * Matlab and Python [http://www.cert.org/flocon/2011/matlab-python-xref.pdf] | ||
| + | |||
| + | '''1. Root finding and solutions to non-linear equations''' [[Media:Notas1PAN.png| Notas ]] | ||
| + | * [[Media:Class1.pdf| Class 1]] | ||
| + | * [[Media:MatlabCourse.pdf| Matlab Introduction ]] [[Media:ProgrammingWithMATLAB.pdf | Matlab Programming ]] | ||
| + | * Article [http://persson.berkeley.edu/pub/wang_et_al2012highorder.pdf] | ||
| + | * IEEE Template [http://www.ieee.org/publications_standards/publications/conferences/msw_usletter_format_nov12.doc] | ||
| + | |||
| + | '''2. Numerical approximation Rn''' | ||
| + | |||
| + | * [[Media:APPROXIMATION1.pptx| Class 7]] | ||
| + | * [[Media:APPROXIMATION2.pptx| Class 8]] | ||
| + | 'Data 1' | ||
| + | 'Data 2' | ||
| + | |||
| + | '''3. Solution to linear algebraic equations I''' | ||
| + | |||
| + | '''4. Solution to linear algebraic equations II''' | ||
| + | |||
| + | '''5. Numerical derivation and integration''' | ||
| + | * [[Media:Class2.pdf| Class 2]] | ||
| + | * [[Media:fd.pdf| Finite Differences Schemes ]] | ||
| + | * [[Media:Fornberg 1998 - Calculation of Weights in Finite Difference Formulas.pdf| Fornberg article]] | ||
| + | * Codigo [[fdcoeffF.m]] | ||
| + | |||
| + | |||
| + | '''6. Numerical solution to ODEs''' | ||
| + | * [[Media:ODEs.pptx| Class 1 ODEs]] | ||
| + | * [[Media:EjParacaídas.xlsx| Example Class 1 ODEs]] | ||
| + | * [[Media:10_133_148.pdf| Isaza paper]] | ||
| + | * [[Media:Taller_ODEs.docx| ODEs Problem]] | ||
| + | |||
| + | '''7. Numerical solution to PDEs I''' | ||
| + | * [[Media: PDEs_I.pdf | Class presentation ]] | ||
| + | '''8. Numerical solution to PDEs II''' | ||
| + | * [[Media:Class3.pdf| Class 3]] | ||
| + | * [[Media:IdealFlows.pdf| Ideal Flows]] | ||
Revision as of 10:16, 31 January 2015
Syllabus
Course contents
1. Algoritmos (3 Semanas)
- Taller programación parte I
- Taller programación parte I y II
- Scilab [1]
- Aprenda matlab como si estuviera en primero [2]
2. Root finding and solutions to non-linear equations Notas
- Class
- Matlab Introduction Matlab Programming
- Article [3]
- IEEE Template [4]
5. Numerical derivation and integration
6. Ordinary differential equations
7. Partial differential equations
_______________________________________________________________
Course contents
- Matlab and Python [5]
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
