System- and Data-Driven Methods and Algorithms

• Tác giả: Peter Benner, Stefano Grivet-Talocia, Luís Miguel Silveira, Alfio Quarteroni, Gianluigi Rozza, Wil Schilders
• Ngôn ngữ: eng
• ISBN-13: 978-3110497717
• Thông tin xuất bản: Berlin ; Boston : De Gruyter, 2021
• Mô tả vật lý: 1 electronic resource (378 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 219847
• Chủ đề: 1. Applied mathematics; 2. Mathematical physics; 3. Numerical analysis; 4. Production engineering

Tóm tắt

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.