Model order reduction : volume 1: 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