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
The techniques of computer modelling and simulation are increasingly important in many fields of sci...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
In this book, we study theoretical and practical aspects of computing methods for mathematical model...
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 monograph addresses the state of the art of reduced order methods for modeling and computationa...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
The disciplines of science and engineering rely heavily on the forecasting of prospective constraint...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
The techniques of computer modelling and simulation are increasingly important in many fields of sci...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
In this book, we study theoretical and practical aspects of computing methods for mathematical model...
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 monograph addresses the state of the art of reduced order methods for modeling and computationa...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
The disciplines of science and engineering rely heavily on the forecasting of prospective constraint...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
The techniques of computer modelling and simulation are increasingly important in many fields of sci...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
In this book, we study theoretical and practical aspects of computing methods for mathematical model...
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