Cluster Expansion Models Via Bayesian Compressive Sensing
The steady march of new technology depends crucially on our ability to discover and design new, advanced materials. Partially due to increases in computing power, computational methods are now having an increased role in this discovery process. Advances in this area speed the discovery and developme...
Main Author: | Nelson, Lance Jacob |
---|---|
Format: | Others |
Published: |
BYU ScholarsArchive
2013
|
Subjects: | |
Online Access: | https://scholarsarchive.byu.edu/etd/4032 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5031&context=etd |
Similar Items
-
Bayesian Compressive Sensing Based on Importance Models
by: Qicong Wang, et al.
Published: (2013-06-01) -
Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns
by: Mohammad Shekaramiz, et al.
Published: (2019-03-01) -
EXONEST: The Bayesian Exoplanetary Explorer
by: Kevin H. Knuth, et al.
Published: (2017-10-01) -
Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
by: Xin Tian, et al.
Published: (2017-06-01) -
Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach
by: Youness Arjoune, et al.
Published: (2018-06-01)