"Efficient Krylov subspace methods for uncertainty quantification in large ..."

Arvind K. Saibaba, Julianne Chung, Katrina Petroske (2020)

> Home

Details and statistics

DOI: 10.1002/NLA.2325

access: closed

type: Journal Article

metadata version: 2020-09-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nla/SaibabaCP20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nla/SaibabaCP20
Arvind K. Saibaba, Julianne Chung, Katrina Petroske:
Efficient Krylov subspace methods for uncertainty quantification in large Bayesian linear inverse problems. Numer. Linear Algebra Appl. 27(5) (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.