Iterative Solution of Large Sparse Systems of Equations

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The book explores the differences in solving large versus small systems of equations, emphasizing the increased complexity and workload associated with larger systems. It highlights the importance of selecting efficient algorithms tailored to the specific properties of matrices, particularly in the context of sparse matrices resulting from discretizing partial differential equations. The content is rooted in the author's lectures at the Christian-Albrecht University of Kiel and connects to his previous work on elliptic differential equations, offering a comprehensive approach to numerical methods in linear algebra.