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
File pdf
10 May 2016
Solutions to the Midterm of 9 May 2016
File pdf
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
File pdf
16 June 2016
Solutions to the final term Numerical Analysis
File pdf
16 June 2016
Results of the final term of Numerical Analysis
File pdf
Results of the complete test of Numerical Analysis
File pdf
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)
File pdf
30 June 2016
Solutions to the the test of Numerical Analysis of 28-th June 2016
File pdf
1-st July 2016
Results of the tests of Numerical Analysis of 28-th June
File pdf
21-th July 2016
Results of the tests of Numerical Analysis of 20-th July
File pdf
18-th September 2016
Results of the tests of Numerical Analysis of 13-th September
File pdf