Hierarchical Matrices: Algorithms and Analysis

Discover the groundbreaking techniques in Hierarchical Matrices: Algorithms and Analysis by Wolfgang Hackbusch, published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG in 2019. This comprehensive paperback edition, with 511 pages, delves into innovative methods that not only solve linear systems but also facilitate the approximation of various matrix functions, including the matrix exponential.

The book introduces the concept of hierarchical matrices, showcasing how they enable efficient storage and approximate matrix operations at nearly linear costs. Readers will appreciate the detailed analysis and algorithms that allow for a manageable degree of approximation error. Ideal for researchers and practitioners in computational mathematics, this work is essential for anyone looking to enhance their understanding of matrix computations. Don't miss the chance to expand your knowledge with this pivotal resource!