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Open AccessJournal ArticleDOI

Surrogate approximation of the Grad–Shafranov free boundary problem via stochastic collocation on sparse grids

TLDR
In this article, a Monte Carlo strategy is used to explore the effect that stochasticity in the parameters has on important features of the plasma boundary such as the location of the x-point, the strike points, and shaping attributes such as triangularity and elongation.
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This article is published in Journal of Computational Physics.The article was published on 2022-01-01 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Free boundary problem & Surrogate model.

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References
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Journal ArticleDOI

The superconvergent patch recovery and a posteriori error estimates. Part 1: The recovery technique

TL;DR: In this article, a general recovery technique is developed for determining the derivatives (stresses) of the finite element solutions at nodes, which has been tested for a group of widely used linear, quadratic and cubic elements for both one and two dimensional problems.
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High-Order Collocation Methods for Differential Equations with Random Inputs

TL;DR: A high-order stochastic collocation approach is proposed, which takes advantage of an assumption of smoothness of the solution in random space to achieve fast convergence and requires only repetitive runs of an existing deterministic solver, similar to Monte Carlo methods.
Journal ArticleDOI

The superconvergent patch recovery and a posteriori error estimates. Part 2: Error estimates and adaptivity

TL;DR: In this paper, the authors derived a theorem showing the dependence of the effectivity index for the Zienkiewicz-Zhu error estimator on the convergence rate of the recovered solution.
Journal ArticleDOI

High dimensional polynomial interpolation on sparse grids

TL;DR: The error bounds show that the polynomial interpolation on a d-dimensional cube, where d is large, is universal, i.e., almost optimal for many different function spaces.
Journal ArticleDOI

Note on a Method for Calculating Corrected Sums of Squares and Products

TL;DR: In this paper, a method for calculating corrected sum of squares and products is presented. But this method is not suitable for counting the number of items in a set. And it is computationally difficult.
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