Model Order Reduction: Volume 2: Methods from Partial Differential Equations

by Peter Benner (Editor)

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

436 pages, Hardcover

Published February 15, 2020