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.
|Name||Model Order Reduction|
|Publisher||Walter de Gruyter GmbH|
- Computational physics
- Mathematisches modell