System- And Data-Driven Methods and Algorithms

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 first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.

• Format: Hardcover
• Language: English
• ISBN: 3110500434
• ISBN13: 9783110500431
• Release Date: November 2021
• Publisher: de Gruyter
• Length: 388 Pages
• Weight: 2.05 lbs.
• Dimensions: 0.8" x 6.5" x 9.5"
• Grade Range: Postsecondary