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Reduced basis method for the rapid and reliable solution of partial differential equations

Abstract : Numerical approximation of the solution of partial differential equations plays an important role in many areas such as engineering, mechanics,physics,chemistry, biology... for computer-aided design-analysis, computer-aided decision-making or simply better understanding. The fidelity of the simulations with respect to reality is achieved through the combined efforts to derive: (i) better models, (ii) faster numerical algorithm, (iii) more accurate discretization methods and (iv) improved large scale computing resources. In many situations, including optimization and control, the same model, depending on a parameter that is changing, has to be simulated over and over,multiplying by a large factor (up to 100 or 1000) the solution procedure cost of one simulation. The reduced basis method allows to define a surrogate solution procedure, that,thanks to the complementary design of fidelity certificates on outputs, allows to speed up the computations by two to three orders of magnitude while maintaining a sufficient accuracy. We present here the basics of this approach for linear and non linear elliptic and parabolic PDE's.
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https://hal.archives-ouvertes.fr/hal-00112152
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Submitted on : Wednesday, November 8, 2006 - 11:26:44 AM
Last modification on : Sunday, June 26, 2022 - 5:28:34 AM
Long-term archiving on: : Thursday, September 20, 2012 - 2:27:09 PM

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  • HAL Id : hal-00112152, version 1

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Yvon Maday. Reduced basis method for the rapid and reliable solution of partial differential equations. 2006. ⟨hal-00112152⟩

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