Low-rank functional approximation for Gaussian %0Cfiltering.
Conference
·
OSTI ID:1456416
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:
- 1456416
- Report Number(s):
- SAND2017-3362C; 652138
- Resource Relation:
- Conference: Proposed for presentation at the Uncertainty Quantification and Data-Driven Modeling held March 23-24, 2017 in Austin, TX.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Optimization of low-rank tensor functional approximations.
Low-rank Tensor Integration for Gaussian Filtering of Continuous TIme Nonlinear Systems.
Low Rank Approximation-based Quadrature for Fast Evaluation of Multi-Particle Integrals.
Conference
·
2018
·
OSTI ID:1525693
+2 more
Low-rank Tensor Integration for Gaussian Filtering of Continuous TIme Nonlinear Systems.
Conference
·
2017
·
OSTI ID:1486890
Low Rank Approximation-based Quadrature for Fast Evaluation of Multi-Particle Integrals.
Conference
·
2015
·
OSTI ID:1266829
+2 more