Computational Physics

Contents: Differential equations in Physics; partial differential equations: parabolic to elliptic; random generator Probability- distribution function- Statistics ; analytical + symbolic calculus (Maple); numerical analysis and resolution of differential equations, finite difference methods, finite elements, boundary element method, stability conditions initial conditions and boundary conditions ; Applications : Random Walk, transport equations, from wave equation (hyperbolic) via Schrödinger equation (parabolic) to Helmholtz (Numerov), PIC code computation.