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Olaf Steinbach

    Numerische Näherungsverfahren für elliptische Randwertprobleme
    Lösungsverfahren für lineare Gleichungssysteme
    Stability estimates for hybrid coupled domain decomposition methods
    Numerical approximation methods for elliptic boundary value problems
    The Fast Solution of Boundary Integral Equations
    • 2008

      This book presents a unified theory of the Finite Element Method and the Boundary Element Method for a numerical solution of second order elliptic boundary value problems. This includes the solvability, stability, and error analysis as well as efficient methods to solve the resulting linear systems. Applications are the potential equation, the system of linear elastostatics and the Stokes system. While there are textbooks on the finite element method, this is one of the first books on Theory of Boundary Element Methods. It is suitable for self study and exercises are included.

      Numerical approximation methods for elliptic boundary value problems
    • 2007

      Boundary Element Methods (BEM) are essential in contemporary numerical computations within applied and engineering sciences. They serve as effective tools for analyzing various physical phenomena that can be represented mathematically through partial differential equations, making them valuable for numerical studies across diverse applications.

      The Fast Solution of Boundary Integral Equations
    • 2003

      Domain decomposition methods are a well established tool for an efficient numerical solution of partial differential equations, in particular for the coupling of different model equations and of different discretization methods. Based on the approximate solution of local boundary value problems either by finite or boundary element methods, the global problem is reduced to an operator equation on the skeleton of the domain decomposition. Different variational formulations then lead to hybrid domain decomposition methods.

      Stability estimates for hybrid coupled domain decomposition methods