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arXiv (Cornell University)
Reduced basis approximation and a posteriori error estimation: applications to elasticity problems in several parametric settings
2018
In this work we consider (hierarchical, Lagrange) reduced basis approximation and a posteriori error estimation for elasticity problems in affinley parametrized geometries. The essential ingredients of the methodology are: a Galerkin projection onto a low-dim…
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Statistics

Study of collection and analysis of data

Statistics (from German: Statistik , orig. "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.
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arXiv (Cornell University)
Reduced basis approximation and a posteriori error estimation: applications to elasticity problems in several parametric settings
2018
In this work we consider (hierarchical, Lagrange) reduced basis approximation and a posteriori error estimation for elasticity problems in affinley parametrized geometries. The essential ingredients of the methodology are: a Galerkin projection onto a low-dimensional space associated with a smooth "parametric manifold" - dimension reduction, an efficient and effective greedy sampling methods for identification of optimal and numerically stable approximations - rapid convergence, an a posteriori error estimation pr…
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arXiv (Cornell University)
Reduced basis approximation and a posteriori error estimation: applications to elasticity problems in several parametric settings
2018
In this work we consider (hierarchical, Lagrange) reduced basis approximation and a posteriori error estimation for elasticity problems in affinley parametrized geometries. The essential ingredients of the methodology are: a Galerkin projection onto a low-dim…
Article
Critical
Symbolic
Virtual
Narrative
Open Statistics Open Article Page