Proper generalized decomposition: Difference between revisions

Revision as of 15:46, 5 May 2021

Revision as of 05:02, 12 July 2021

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{{Machine learning|Dimensionality barreduction}}

The '''proper generalized decomposition''' ('''PGD''') is an [[iterative method|iterative]] [[numerical method]] for solving [[boundary value problem]]s (BVPs), that is, [[partial differential equation]]s constrained by a set of boundary conditions, such as the [[Poisson's equation]] or the [[Laplace's equation]].