1 citations · 1 across the 2 of their papers we have counts for
3 papers
Learning from few examples with nonlinear feature maps
Ivan Y. Tyukin, Oliver Sutton, Alexander N. Gorban
In this work we consider the problem of data classification in post-classical settings were the number of training examples consists of mere few data points. We explore the phenome…
Residual-based a posteriori error estimates for -discontinuous Galerkin discretisations of the biharmonic problem
Zhaonan Dong, Lorenzo Mascotto, Oliver J. Sutton
We introduce a residual-based a posteriori error estimator for a novel -version interior penalty discontinuous Galerkin method for the biharmonic problem in two and three dimen…
Adaptive non-hierarchical Galerkin methods for parabolic problems with application to moving mesh and virtual element methods
Andrea Cangiani, Emmanuil H. Georgoulis, Oliver J. Sutton
We present a posteriori error estimates for inconsistent and non-hierarchical Galerkin methods for linear parabolic problems, allowing them to be used in conjunction with very gene…