Augmented GMRES-type versus CGNE methods for the solution of linear ill-posed problems

Research output: Contribution to journal › Article

Original language	German (Austria)
Pages (from-to)	412-431
Number of pages	20
Journal	Electronic Transactions on Numerical Analysis (ETNA)
Volume	51
DOIs	https://doi.org/10.1553/etna_vol51s412
Publication status	Published - 2019

Fields of science

@article{44e12d6a777a4c78a849b473d09a685d,

title = "Augmented GMRES-type versus CGNE methods for the solution of linear ill-posed problems",

author = "Andreas Neubauer",

year = "2019",

doi = "10.1553/etna\_vol51s412",

language = "Deutsch ({\"O}sterreich)",

volume = "51",

pages = "412--431",

journal = "Electronic Transactions on Numerical Analysis (ETNA)",

issn = "1068-9613",

publisher = "Kent State University, Department of Mathematics and Computer Science, Kent",

}

TY - JOUR

T1 - Augmented GMRES-type versus CGNE methods for the solution of linear ill-posed problems

AU - Neubauer, Andreas

PY - 2019

Y1 - 2019

UR - https://www.scopus.com/pages/publications/85081594125

U2 - 10.1553/etna_vol51s412

DO - 10.1553/etna_vol51s412

M3 - Artikel

SN - 1068-9613

VL - 51

SP - 412

EP - 431

JO - Electronic Transactions on Numerical Analysis (ETNA)

JF - Electronic Transactions on Numerical Analysis (ETNA)

ER -