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Numerical Analysis

Code 14932
Year 3
Semester S2
ECTS Credits 6
Workload TP(60H)
Scientific area Mathematics
Entry requirements None
Learning outcomes With this curricular unit it is intended that the student obtain numerical tools to solve the most varied mathematical problems. At the end of this curricular unit the student should be able to:
a) calculate numerically approximations for the eigenvalues and eigenvectors of a matrix
b) solve numerically systems of non-linear equations
c) use computational methods to solve nonlinear programming problems
d) approximate functions
e) obtain numerically solutions of ordinary differential equations with values at the boundary
f) solve differential equations with partial derivatives by numerical methods
g) in face of a proposed problem, translate it mathematically, identify possible methods to solve it, choose the most appropriate, implement it and critically analyze the results
Syllabus 1. Approximation of eigenvalues and eigenvectors
2. Numerical Solution of Nonlinear Systems of Equations
3. Nonlinear optimization
4. Approximation of functions
5. Boundary-Value Problems for Ordinary Differential Equations
6. Numerical Solutions to Partial Differential Equations
Main Bibliography 1. Pina H (1995). Métodos Numéricos. Alfragide: McGraw-Hill
2. Valença MR (1988). Métodos Numéricos. Braga: INIC
3. Burden RI, Faires JD and Burden AM (2015). Numerical Analysis, 10th ed. Boston: PWS-Kent
4. Butcher JC (2008). The Numerical Analysis of Ordinary Differential Equations, 2nd ed. Auckland: John Wiley & Sons
Language Portuguese. Tutorial support is available in English.

Course

Physics
Last updated on: 2020-07-17

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