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math.NA2017
An improved discrete least-squares/reduced-basis method for parameterized elliptic PDEs
Max Gunzburger, Michael Schneier, Clayton Webster +1
It is shown that the computational efficiency of the discrete least-squares (DLS) approximation of solutions of stochastic elliptic PDEs is improved by incorporating a reduced-basi…
math.NA2017★ 1 cited
Compressed sensing approaches for polynomial approximation of high-dimensional functions
Ben Adcock, Simone Brugiapaglia, Clayton G. Webster
In recent years, the use of sparse recovery techniques in the approximation of high-dimensional functions has garnered increasing interest. In this work we present a survey of rece…