Abstract
This chapter describes the main features of the PGD technique, in particular the one related to the construction of a separated representation of the unknown field involved in a partial differential equation. For this purpose, we consider the solution of the two-dimensional Poisson equation in a square domain. The solution is sought as a finite sum of terms, each one involving the product of functions of each coordinate. The solution is then calculated by means of a sequence of one-dimensional problems. The chapter starts with the simplest case, that is later extended to cover more complex problems: non-constant source terms, non-homogeneous Dirichlet and Neumann boundary conditions, and high-dimensional problems. Carefully solved numerical examples are discussed to illustrate the theoretical developments.
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References
A. Ammar, F. Chinesta, P. Diez, A. Huerta, An error estimator for separated representations of highly multidimensional models. Comput. Methods Appl. Mech. Eng. 199, 1872–1880 (2010)
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D. Gonzalez, A. Ammar, F. Chinesta, E. Cueto, Recent advances in the use of separated representations. Int. J. Numer. Meth. Eng. 81/5, 637–659 (2010)
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Chinesta, F., Keunings, R., Leygue, A. (2014). PGD Solution of the Poisson Equation. In: The Proper Generalized Decomposition for Advanced Numerical Simulations. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-02865-1_2
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DOI: https://doi.org/10.1007/978-3-319-02865-1_2
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