Model Reduction and Approximation is popular PDF and ePub book, written by Peter Benner in 2017-07-06, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Model Reduction and Approximation can be Read Online from any device for your convenience.
Model Reduction and Approximation Book PDF Summary
Many physical, chemical, biomedical, and technical processes can be described by partial differential equations or dynamical systems. In spite of increasing computational capacities, many problems are of such high complexity that they are solvable only with severe simplifications, and the design of efficient numerical schemes remains a central research challenge. This book presents a tutorial introduction to recent developments in mathematical methods for model reduction and approximation of complex systems. Model Reduction and Approximation: Theory and Algorithms contains three parts that cover (I) sampling-based methods, such as the reduced basis method and proper orthogonal decomposition, (II) approximation of high-dimensional problems by low-rank tensor techniques, and (III) system-theoretic methods, such as balanced truncation, interpolatory methods, and the Loewner framework. It is tutorial in nature, giving an accessible introduction to state-of-the-art model reduction and approximation methods. It also covers a wide range of methods drawn from typically distinct communities (sampling based, tensor based, system-theoretic).?? This book is intended for researchers interested in model reduction and approximation, particularly graduate students and young researchers.
Detail Book of Model Reduction and Approximation PDF
- Author : Peter Benner
- Release : 06 July 2017
- Publisher : SIAM
- ISBN : 9781611974829
- Genre : Science
- Total Page : 421 pages
- Language : English
- PDF File Size : 20,6 Mb
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