José A. Morales Escalante
Journal of Computational Physics · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom José A. Morales Escalante trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts José A. Morales Escalante overall
Papers from José A. Morales Escalante's perspective
Ordered by how strongly the researchers José A. Morales Escalante trusts endorse each paper. Same corpus, a different order for every researcher.
- Handbook of Uncertainty Quantification
- Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos
- Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos
- Stochastic processes and orthogonal polynomials
- An Introduction to Fluid Dynamics
- A stochastic projection method for fluid flow. I: basic formulation
- Multi-resolution analysis of wiener-type uncertainty propagation schemes
- Stochastic spectral methods for efficient Bayesian solution of inverse problems (Journal of Computational Physics)
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
- Random Heterogeneous Materials: Microstructure and Macroscopic Properties
Their papers
- Stochastic Galerkin Methods for the Boltzmann-Poisson system (2019) — 591 citations