In scientific computing, efficient iterative solution strategies for linear systems are extremely important. This thesis presents a flexible aggregation-based algebraic multigrid framework which allows the development of problem-specific adaptions for solving challenging linear problems arising from computational fluid mechanics and computational contact mechanics. The resulting methods are shown to be robust and efficient for large linear systems and therefore represent a significant improvement of the iterative solution process.
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In scientific computing, efficient iterative solution strategies for linear systems are extremely important. This thesis presents a flexible aggregation-based algebraic multigrid framework which allows the development of problem-specific adaptions for solving challenging linear problems arising from computational fluid mechanics and computational contact mechanics. The resulting methods are shown to be robust and efficient for large linear systems and therefore represent a significant improvemen...
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