=ADD= =reftype= 14 =number= 03-10 =url= ftp://ftp.risc.uni-linz.ac.at/pub/techreports/2003/03-10.ps.gz =year= 2003 =month= 06 =author= Gu; Hong =title= Graphical Solutions to the Plateau Problem =abstract= There already exist a variety of software for generating minimal surfaces of special types. However, the convergence theories for those approximating techniques are always left uncompleted. This leads to the difficulty of programming for displaying a whole class of minimal surfaces in general form. In the old years, some research work has been done for solving the well-known Plateau Problems by the finite element method, under the assumption that the associated partial differential equation contains unique solution for some special domain and boundary conditions. In this thesis, we try to extend the existing convergence theories to some new discretization form, which is convenient for symbolic computation, and finally generate those approximated minimal surfaces (subject to the Plateau problems) by aid of computer algebra software. The key boundary value differential form based on zero mean curvature will be given first and, for solving the associated discrete scheme, either the numerical Newton iteration method can be applied, or we can use some symbolic solving methods for the parameter depending discrete equations. Compared to other existing finite element approaches for solving the Plateau problems, the new special discretization methods in this paper have many convenient properties for applying symbolic approaches. The convergence and superconvergence property of the numerical solutions are extended based on the new discretization forms on general finite element interpolation spaces. This method can be applied to generating the minimal surface graphically on specialized software. And, in order to speed up the whole computation, some 2-grid discretization algorithms and parallel algorithms have already been proved and implemented into the program. =note= PhD Thesis =sponsor= FWF project SFB013/1304 =keywords= Minimal surface, Plateau problem, Finite element method, Sobolev space, Variational form, Convexity, Brouwers fixed point theorem, 2-grid discretization, Parallel algorithms