Regularization properties of Krylov iterative solvers CGME and LSMR for linear discrete ill-posed problems with an application to truncated randomized SVDs Article Swipe
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s11075-019-00865-w
- OA Status
- green
- Cited By
- 9
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3008416987
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3008416987Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s11075-019-00865-wDigital Object Identifier
- Title
-
Regularization properties of Krylov iterative solvers CGME and LSMR for linear discrete ill-posed problems with an application to truncated randomized SVDsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-02-24Full publication date if available
- Authors
-
Zhongxiao JiaList of authors in order
- Landing page
-
https://doi.org/10.1007/s11075-019-00865-wPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1812.04762Direct OA link when available
- Concepts
-
Mathematics, Conjugate gradient method, Regularization (linguistics), Applied mathematics, Iterated function, Algorithm, Singular value decomposition, Residual, Mathematical analysis, Computer science, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 2, 2022: 1, 2020: 4Per-year citation counts (last 5 years)
- References (count)
-
64Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3008416987 |
|---|---|
| doi | https://doi.org/10.1007/s11075-019-00865-w |
| ids.doi | https://doi.org/10.1007/s11075-019-00865-w |
| ids.mag | 3008416987 |
| ids.openalex | https://openalex.org/W3008416987 |
| fwci | 1.30706016 |
| type | article |
| title | Regularization properties of Krylov iterative solvers CGME and LSMR for linear discrete ill-posed problems with an application to truncated randomized SVDs |
| awards[0].id | https://openalex.org/G2895962212 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 11771249 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 4 |
| biblio.volume | 85 |
| biblio.last_page | 1310 |
| biblio.first_page | 1281 |
| topics[0].id | https://openalex.org/T10500 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2206 |
| topics[0].subfield.display_name | Computational Mechanics |
| topics[0].display_name | Sparse and Compressive Sensing Techniques |
| topics[1].id | https://openalex.org/T11205 |
| topics[1].field.id | https://openalex.org/fields/26 |
| topics[1].field.display_name | Mathematics |
| topics[1].score | 0.9993000030517578 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2610 |
| topics[1].subfield.display_name | Mathematical Physics |
| topics[1].display_name | Numerical methods in inverse problems |
| topics[2].id | https://openalex.org/T13487 |
| topics[2].field.id | https://openalex.org/fields/26 |
| topics[2].field.display_name | Mathematics |
| topics[2].score | 0.9973999857902527 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2604 |
| topics[2].subfield.display_name | Applied Mathematics |
| topics[2].display_name | Statistical and numerical algorithms |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 2390 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2990 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C33923547 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8289094567298889 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[0].display_name | Mathematics |
| concepts[1].id | https://openalex.org/C81184566 |
| concepts[1].level | 2 |
| concepts[1].score | 0.73182213306427 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1191895 |
| concepts[1].display_name | Conjugate gradient method |
| concepts[2].id | https://openalex.org/C2776135515 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6245576739311218 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q17143721 |
| concepts[2].display_name | Regularization (linguistics) |
| concepts[3].id | https://openalex.org/C28826006 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5810080170631409 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q33521 |
| concepts[3].display_name | Applied mathematics |
| concepts[4].id | https://openalex.org/C140479938 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5584015250205994 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5254619 |
| concepts[4].display_name | Iterated function |
| concepts[5].id | https://openalex.org/C11413529 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4886961281299591 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[5].display_name | Algorithm |
| concepts[6].id | https://openalex.org/C22789450 |
| concepts[6].level | 2 |
| concepts[6].score | 0.45688894391059875 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q420904 |
| concepts[6].display_name | Singular value decomposition |
| concepts[7].id | https://openalex.org/C155512373 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4412880539894104 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q287450 |
| concepts[7].display_name | Residual |
| concepts[8].id | https://openalex.org/C134306372 |
| concepts[8].level | 1 |
| concepts[8].score | 0.26101553440093994 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[8].display_name | Mathematical analysis |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.11457386612892151 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C154945302 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[10].display_name | Artificial intelligence |
| keywords[0].id | https://openalex.org/keywords/mathematics |
| keywords[0].score | 0.8289094567298889 |
| keywords[0].display_name | Mathematics |
| keywords[1].id | https://openalex.org/keywords/conjugate-gradient-method |
| keywords[1].score | 0.73182213306427 |
| keywords[1].display_name | Conjugate gradient method |
| keywords[2].id | https://openalex.org/keywords/regularization |
| keywords[2].score | 0.6245576739311218 |
| keywords[2].display_name | Regularization (linguistics) |
| keywords[3].id | https://openalex.org/keywords/applied-mathematics |
| keywords[3].score | 0.5810080170631409 |
| keywords[3].display_name | Applied mathematics |
| keywords[4].id | https://openalex.org/keywords/iterated-function |
| keywords[4].score | 0.5584015250205994 |
| keywords[4].display_name | Iterated function |
| keywords[5].id | https://openalex.org/keywords/algorithm |
| keywords[5].score | 0.4886961281299591 |
| keywords[5].display_name | Algorithm |
| keywords[6].id | https://openalex.org/keywords/singular-value-decomposition |
| keywords[6].score | 0.45688894391059875 |
| keywords[6].display_name | Singular value decomposition |
| keywords[7].id | https://openalex.org/keywords/residual |
| keywords[7].score | 0.4412880539894104 |
| keywords[7].display_name | Residual |
| keywords[8].id | https://openalex.org/keywords/mathematical-analysis |
| keywords[8].score | 0.26101553440093994 |
| keywords[8].display_name | Mathematical analysis |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.11457386612892151 |
| keywords[9].display_name | Computer science |
| language | en |
| locations[0].id | doi:10.1007/s11075-019-00865-w |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S117494069 |
| locations[0].source.issn | 1017-1398, 1572-9265 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1017-1398 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Numerical Algorithms |
| locations[0].source.host_organization | https://openalex.org/P4310319900 |
| locations[0].source.host_organization_name | Springer Science+Business Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Numerical Algorithms |
| locations[0].landing_page_url | https://doi.org/10.1007/s11075-019-00865-w |
| locations[1].id | pmh:oai:arXiv.org:1812.04762 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | https://arxiv.org/pdf/1812.04762 |
| locations[1].version | submittedVersion |
| locations[1].raw_type | text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://arxiv.org/abs/1812.04762 |
| indexed_in | arxiv, crossref |
| authorships[0].author.id | https://openalex.org/A5075378610 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9761-8517 |
| authorships[0].author.display_name | Zhongxiao Jia |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I99065089 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Mathematical Sciences, Tsinghua University, Beijing, China |
| authorships[0].institutions[0].id | https://openalex.org/I99065089 |
| authorships[0].institutions[0].ror | https://ror.org/03cve4549 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I99065089 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Tsinghua University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zhongxiao Jia |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Mathematical Sciences, Tsinghua University, Beijing, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/1812.04762 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2020-03-06T00:00:00 |
| display_name | Regularization properties of Krylov iterative solvers CGME and LSMR for linear discrete ill-posed problems with an application to truncated randomized SVDs |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10500 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2206 |
| primary_topic.subfield.display_name | Computational Mechanics |
| primary_topic.display_name | Sparse and Compressive Sensing Techniques |
| related_works | https://openalex.org/W3121932492, https://openalex.org/W4232638561, https://openalex.org/W2544771389, https://openalex.org/W2034060070, https://openalex.org/W3103325625, https://openalex.org/W1997544008, https://openalex.org/W4229957265, https://openalex.org/W2949601986, https://openalex.org/W2782547861, https://openalex.org/W2066043610 |
| cited_by_count | 9 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 2 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 1 |
| counts_by_year[4].year | 2020 |
| counts_by_year[4].cited_by_count | 4 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:1812.04762 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/1812.04762 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/1812.04762 |
| primary_location.id | doi:10.1007/s11075-019-00865-w |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S117494069 |
| primary_location.source.issn | 1017-1398, 1572-9265 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1017-1398 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Numerical Algorithms |
| primary_location.source.host_organization | https://openalex.org/P4310319900 |
| primary_location.source.host_organization_name | Springer Science+Business Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Numerical Algorithms |
| primary_location.landing_page_url | https://doi.org/10.1007/s11075-019-00865-w |
| publication_date | 2020-02-24 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W4302564868, https://openalex.org/W637574335, https://openalex.org/W1847144746, https://openalex.org/W2313084557, https://openalex.org/W4301491118, https://openalex.org/W1964910311, https://openalex.org/W4243465176, https://openalex.org/W1983886273, https://openalex.org/W2964137678, https://openalex.org/W1931725016, https://openalex.org/W625895441, https://openalex.org/W1986914969, https://openalex.org/W2117756735, https://openalex.org/W1491683340, https://openalex.org/W2050001231, https://openalex.org/W2073835183, https://openalex.org/W1594234351, https://openalex.org/W1998762105, https://openalex.org/W3217247658, https://openalex.org/W2046470130, https://openalex.org/W2767053458, https://openalex.org/W2316564661, https://openalex.org/W2611081798, https://openalex.org/W2067461769, https://openalex.org/W1488477687, https://openalex.org/W2964223338, https://openalex.org/W2899557605, https://openalex.org/W1531455566, https://openalex.org/W2483741779, https://openalex.org/W4293409666, https://openalex.org/W72753083, https://openalex.org/W4298264214, https://openalex.org/W2018850201, https://openalex.org/W2097897435, https://openalex.org/W2059586807, https://openalex.org/W2013477725, https://openalex.org/W2114424556, https://openalex.org/W658559791, https://openalex.org/W1542258000, https://openalex.org/W2013737143, https://openalex.org/W4285719527, https://openalex.org/W612485192, https://openalex.org/W1965497533, https://openalex.org/W2140064412, https://openalex.org/W2133560833, https://openalex.org/W189356375, https://openalex.org/W3034522293, https://openalex.org/W2068403935, https://openalex.org/W3046265042, https://openalex.org/W2010315317, https://openalex.org/W26205945, https://openalex.org/W1760551737, https://openalex.org/W1581163326, https://openalex.org/W4230960434, https://openalex.org/W2314586021, https://openalex.org/W2087111693, https://openalex.org/W2021039784, https://openalex.org/W2058583833, https://openalex.org/W2803610866, https://openalex.org/W1741578612, https://openalex.org/W2015071882, https://openalex.org/W1570089119, https://openalex.org/W3103946307, https://openalex.org/W3022136271 |
| referenced_works_count | 64 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5075378610 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I99065089 |
| citation_normalized_percentile.value | 0.75365931 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |