Numerical Methods Linear Complementarity by Sarah Niebe (7 results)
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Numerical Methods for Linear Complementarity Problems in Physics-Based Animation | Sarah Niebe (u. a.) | Taschenbuch | Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging | viii | Englisch | 2015 | Springer | EAN 9783031795633 | Verantwortliche…Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Condition: Brand New. 151 pages. 9.00x7.50x0.50 inches. In Stock.
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Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer 2015
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Linear complementarity problems (LCPs) have for many years been used in physics-based animation to model contact forces between rigid bodies in contact. More recently, LCPs have found their way into the realm of fluid… dynamics. Here, LCPs are used to model .
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Linear complementarity problems (LCPs) have for many years been used in physics-based animation to model contact forces between rigid bodies in contact. More recently, LCPs have found their way into the realm of fluid dynamics. Here, LC…Ps are used to model boundary conditions with fluid-wall contacts. LCPs have also started to appear in deformable models and granular simulations. There is an increasing need for numerical methods to solve the resulting LCPs with all these new applications. This book provides a numerical foundation for such methods, especially suited for use in computer graphics. This book is mainly intended for a researcher/Ph.D. student/post-doc/professor who wants to study the algorithms and do more work/research in this area. Programmers might have to invest some time brushing up on math skills, for this we refer to Appendices A and B. The reader should be familiar with linear algebra and differential calculus. We provide pseudo code for all the numerical methods, which should be comprehensible by any computer scientist with rudimentary programming skills. The reader can find an online supplementary code repository, containing Matlab implementations of many of the core methods covered in these notes, as well as a few Python implementations [Erleben, 2011].Table of Contents: Introduction / Numerical Methods / Guide for Software and Selecting Methods / Bibliography / Authors' BiographiesSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 160 pp. Englisch.
