An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions. / Zunino, Andrea; Mosegaard, Klaus.

In: Computers and Geosciences, Vol. 122, 01.01.2019, p. 77-86.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zunino, A & Mosegaard, K 2019, 'An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions', Computers and Geosciences, vol. 122, pp. 77-86. https://doi.org/10.1016/j.cageo.2018.09.005

APA

Zunino, A., & Mosegaard, K. (2019). An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions. Computers and Geosciences, 122, 77-86. https://doi.org/10.1016/j.cageo.2018.09.005

Vancouver

Zunino A, Mosegaard K. An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions. Computers and Geosciences. 2019 Jan 1;122:77-86. https://doi.org/10.1016/j.cageo.2018.09.005

Author

Zunino, Andrea ; Mosegaard, Klaus. / An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions. In: Computers and Geosciences. 2019 ; Vol. 122. pp. 77-86.

Bibtex

@article{7ebff0914e5a4a96af87ab2ec1d9362a,
title = "An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions",
author = "Andrea Zunino and Klaus Mosegaard",
year = "2019",
month = jan,
day = "1",
doi = "10.1016/j.cageo.2018.09.005",
language = "English",
volume = "122",
pages = "77--86",
journal = "Computers & Geosciences",
issn = "0098-3004",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions

AU - Zunino, Andrea

AU - Mosegaard, Klaus

PY - 2019/1/1

Y1 - 2019/1/1

U2 - 10.1016/j.cageo.2018.09.005

DO - 10.1016/j.cageo.2018.09.005

M3 - Journal article

VL - 122

SP - 77

EP - 86

JO - Computers & Geosciences

JF - Computers & Geosciences

SN - 0098-3004

ER -

ID: 189239057