A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.
Conference
·
OSTI ID:1369005
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1369005
- Report Number(s):
- SAND2016-5382C; 641745
- Resource Relation:
- Conference: Proposed for presentation at the 10th International Conference on Scientific Computing and Applications held June 6-10, 2016 in Toronto, Ontario, Canada.
- Country of Publication:
- United States
- Language:
- English
Similar Records
A Scalable Sampling-Free Nonlinear State Estimation Algorithm for Large-Scale Models and Data Sets using High Performance Computing.
Scalable Matrix Computations on Large Scale-Free Graphs Using 2D Graph Partitioning.
Scalable Matrix Computations on Large Scale-Free Graphs Using 2D Graph Partitioning.
Conference
·
Sat Jul 01 00:00:00 EDT 2017
·
OSTI ID:1369005
+3 more
Scalable Matrix Computations on Large Scale-Free Graphs Using 2D Graph Partitioning.
Conference
·
Sat Jun 01 00:00:00 EDT 2013
·
OSTI ID:1369005
Scalable Matrix Computations on Large Scale-Free Graphs Using 2D Graph Partitioning.
Conference
·
Mon Apr 01 00:00:00 EDT 2013
·
OSTI ID:1369005