## Find a copy online

### Links to this item

## Find a copy in the library

Finding libraries that hold this item...

## Details

Genre/Form: | Electronic books |
---|---|

Additional Physical Format: | Print version: Model reduction and approximation Philadelphia : Society for Industrial and Applied Mathematics, [2017] (DLC) 2017012782 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Peter Benner; Albert Cohen; Mario Ohlberger; Karen Willcox; Society for Industrial and Applied Mathematics, |

ISBN: | 9781611974829 1611974828 |

OCLC Number: | 981761760 |

Description: | 1 online resource (xii, 412 pages). |

Contents: | Preface -- part I. Sampling-based methods -- 1. Pod for linear-quadratic optimal control -- 2. A tutorial on RB-methods -- 3. The theoretical foundation of reduced basis methods -- part II. Tensor-based methods -- 4. Low-rank methods for high-dimensional approximation -- 5. Model reduction for high-dimensional parametric problems by tensor techniques -- part III. System-theoretic methods -- 6. Model order reduction based on systems building -- 7. Interpolatory model reduction -- 8. The loewner framework for model reduction -- 9. Comparison of methods for PMOR. |

Series Title: | Computational science and engineering. |

Responsibility: | edited by Peter Benner, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany, Albert Cohen, Université Pierre at Marie Curie, Paris, France, Mario Ohlberger, Universität Münster, Münster, Germany, Karen Willcox, Massachusetts Institute of Technology, Cambridge, Massachusetts. |

### Abstract:

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.
Read more...

## Reviews

*User-contributed reviews*

Add a review and share your thoughts with other readers.
Be the first.

Add a review and share your thoughts with other readers.
Be the first.

## Tags

Add tags for "Model reduction and approximation : theory and algorithms".
Be the first.