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

Revision as of 10:16, 31 January 2015

Logos-tadeo-central.png


Syllabus

Course contents

1. Algoritmos (3 Semanas)

2. Root finding and solutions to non-linear equations Notas


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

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