Benner, Peter <br/><br/>
System- and Data-Driven Methods and Algorithms 

 - Berlin/Boston  De Gruyter  2021 
 - 1 electronic resource (378 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>9783110498967 9783110498967 9783110500431 9783110497717 
<br/><br/><label>Standard No.: </label>10.1515/9783110498967  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Numerical analysis<br/>Applied mathematics<br/>Mathematical physics<br/>Production engineering
<br/><br/><label>Subjects--Index Terms: </label>Computational physics Computer simulation