Numerical Methods for Engineering

Objectives

Available soon

General characterization

Code

12555

Credits

6.0

Responsible teacher

Nuno Filipe Marcelino Martins

Hours

Weekly - 5

Total - Available soon

Teaching language

Português

Prerequisites

Available soon

Bibliography

BURDEN, R.L.; FAIRES, J.D. (2011) -- Numerical Analysis (9th edition), Brooks/Cole, Boston, USA.

PINA, H. (1995) -- Métodos Numéricos, McGrawHill.

BRAUN, M. (1993) -- Differential Equations and their applications (4th edition). Springer-Verlag.

CIARLET, P.G. (1995) -- Introduction to Numerical Linear Algebra and Optimisation, Cambridge University Press, England.

Teaching method

Available soon

Evaluation method

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Subject matter

I. Matrix numerical analysis:

1. Conditioning of matrices. Condition number.

2. Iterative methods for system of equations: Jacobi, Gauss-Seidel e Relaxação.

3. iterative methods for computing eigenvalues and eigenvectors: power iteration.

4. Rayleigh quotient.

 

II.  Numerical solution of differential equations:

1. Euler, Taylor and Runge-Kutta methods.

2. Explicit and implicit multistep methods.

3. Predictor–corrector method (Adams--Bashforth e Adams – Moulton).

4. Finite difference methods for elliptic 1D problems (axial deformation of rods).

5. Finite difference methods of elliptic 2D problems (transverse deformation of membranes).

6. finite difference methods of 2D parabolic problems (head diffusion). Explicit, implicit and Crank—Nicolson algorithms.

Programs

Programs where the course is taught: