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Advances in adaptive computational methods in mechanics /
Mastering modelling, and in particular numerical models, is becoming a crucial and central question in modern computational mechanics. Various tools, able to quantify the quality of a model with regard to another one taken as the reference, have been derived. Applied to computational strategies, the...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
Elsevier,
1998.
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| Colección: | Studies in applied mechanics ;
47. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
| Sumario: | Mastering modelling, and in particular numerical models, is becoming a crucial and central question in modern computational mechanics. Various tools, able to quantify the quality of a model with regard to another one taken as the reference, have been derived. Applied to computational strategies, these tools lead to new computational methods which are called "adaptive". The present book is concerned with outlining the state of the art and the latest advances in both these important areas. Papers are selected from a Workshop (Cachan 17-19 September 1997) which is the third of a series devoted to Error Estimators and Adaptivity in Computational Mechanics. The Cachan Workshop dealt with latest advances in adaptive computational methods in mechanics and their impacts on solving engineering problems. It was centered too on providing answers to simple questions such as: what is being used or can be used at present to solve engineering problems? What should be the state of art in the year 2000? What are the new questions involving error estimators and their applications? |
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| Notas: | Papers selected from a workshop held in Cachan, France, Sept. 17-19, 1997. |
| Descripción Física: | 1 online resource (ix, 528 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780080433271 0080433278 9780080525938 0080525938 1281053651 9781281053657 |