Ya-zhong Luo

Numerical Methods & Scientific Computing · 2005–2017

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ya-zhong Luo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. M. Powell
  2. Simon Justin Julier
  3. Kalyanmoy Deb
  4. Dongbin Xiu
  5. John A. Nelder
  6. Kyle J. Demars

Who trusts Ya-zhong Luo overall

  1. G. Tang

Papers from Ya-zhong Luo's perspective

Ordered by how strongly the researchers Ya-zhong Luo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multi-resolution analysis of wiener-type uncertainty propagation schemes
  2. Nonlinear Bayesian estimation using Gaussian sum approximations
  3. A Simplex Method for Function Minimization
  4. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
  5. Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos
  6. Convergence rates for sparse chaos approximations of elliptic problems with stochastic coefficients
  7. Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations
  8. Uncertainty propagation using Wiener-Haar expansions
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. An adaptive multi-element generalized polynomial chaos method for stochastic differential equations

Their papers