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Implementation of numerical methods to find solutions of systems of linear equations and find points in a curve given by a set of equations.

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Mètodes II

In this repository you can find the 2 programming assignments for my Numerical Methods II class (Mathematics UB). Both were programmed in C.

P1

Implements iterative methods to solve systems of linear equations. The 3 methods used are Jacobi, Gauss-Seidel and SOR (Successive Over Relaxation). Tuning the relaxation parameter for the SOR method, it accomplishes the fastest convergence to a solution.

These methods are applied to solve a Partial Differential Equation by constructing the tridiagonal matrix associated with the system of equations.

P2

Implements a predictor-corrector method to find points of a curve given by a specific set of equations. The method followed is illustrated below (not necessarily with the same notation).

Pseudo-arc-length-continuation

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Implementation of numerical methods to find solutions of systems of linear equations and find points in a curve given by a set of equations.

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