G. Hu
Statistical and Nonlinear Physics · with Fang · 2013–2015
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 17 citations into it
- Computational Mechanics — 13 citations into it
- Numerical Analysis — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom G. Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from G. Hu's perspective
Ordered by how strongly the researchers G. Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
- Balanced Model Reduction via the Proper Orthogonal Decomposition
- An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
- A ‘best points’ interpolation method for efficient approximation of parametrized functions
- Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics (SIAM Journal on Numerical Analysis)
- An efficient reduced‐order modeling approach for non‐linear parametrized partial differential equations
- Application of POD and DEIM on dimension reduction of non-linear miscible viscous fingering in porous media
- Nonlinear Model Reduction via Discrete Empirical Interpolation (SIAM Journal on Scientific Computing)
- Face recognition with radial basis function (RBF) neural networks (IEEE Trans. Neural Networks)
- LIII. On lines and planes of closest fit to systems of points in space