Nonlinear manifold learning for model reduction in finite elastodynamics
نویسندگان
چکیده
منابع مشابه
Nonlinear manifold learning for model reduction in finite elastodynamics
Model reduction in computational mechanics is generally addressed with linear dimensionality reduction methods such as Principal Components Analysis (PCA). Hypothesizing that in many applications of interest the essential dynamics evolve on a nonlinear manifold, we explore here reduced order modeling based on nonlinear dimensionality reduction methods. Such methods are gaining popularity in div...
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ژورنال
عنوان ژورنال: Computer Methods in Applied Mechanics and Engineering
سال: 2013
ISSN: 0045-7825
DOI: 10.1016/j.cma.2013.04.007