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
This book is Open Access under a CC BY licence. The LNCS 11427 and 11428 proceedings set constitutes...
This thesis contains a collection of papers written between 2002 and 2008 as well as a short introdu...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
This Chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
This book is Open Access under a CC BY licence. The LNCS 11427 and 11428 proceedings set constitutes...
This thesis contains a collection of papers written between 2002 and 2008 as well as a short introdu...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
This Chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
This book is Open Access under a CC BY licence. The LNCS 11427 and 11428 proceedings set constitutes...
This thesis contains a collection of papers written between 2002 and 2008 as well as a short introdu...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
DOI
Add to ORKG