Course Numerical Analysis - 2016 - Nicola Guglielmi

This is a course on numerical methods for ordinary and (in part) partial differential equations and on numerical optimization.

Program


Some material

A guide to Matlab



Implementation of the Newton method for systems of nonlinear equations

Matlab routine Newt
Matlab routine TestFunction
Matlab script Test




24 April 2016


Exercises in preparation of the midterm

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10 May 2016


Solutions to the Midterm of 9 May 2016

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20 May 2016


Implementation of the Dormand Prince embedded Runge Kutta method for ODEs

Matlab routine RK45
Matlab routine BRUSS (Brusselator system)




27 May 2016


Exercises in preparation of the final

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16 June 2016


Solutions to the final term Numerical Analysis

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16 June 2016


Results of the final term of Numerical Analysis

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Results of the complete test of Numerical Analysis

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21 June 2016


Next test is scheduled on June 28; it will be possible to repeat the final and preserve the grade of the midterm for those willing to opt for this.



30 June 2016


Test of Numerical Analysis of 28-th June 2016 (includes the exercises of the second term)

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30 June 2016


Solutions to the the test of Numerical Analysis of 28-th June 2016

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1-st July 2016


Results of the tests of Numerical Analysis of 28-th June

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21-th July 2016


Results of the tests of Numerical Analysis of 20-th July

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18-th September 2016


Results of the tests of Numerical Analysis of 13-th September

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