Università Roma Tre

Tools, software and textbooks.
Setup of the computational environment.
Assessment of the computational environment: coding, compilation, execution, i/o, post–processing.
Linear algebra problems: matrix multiplication, linear systems.
Coding practices for performance: cache–miss minimization.
Use of external libraries. Eigenproblems.
Polynomial interpolation.
Integration of ODE: explicit/implicit methods, Liapunov stability.
Numerical integration: Newton–Cotes quadratures, Gaussian quadratures.
Systems of non–linear differential equations.
Oscillators, chaotic systems, Lorenz attractor.

Lecture notes