Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Mathé, Peter (VerfasserIn), Pereverzev, Sergej V. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Berlin WIAS 2000
Schriftenreihe:Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint 548
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000nam a22000001cb4500
001 BV013130215
003 DE-604
005 20000517
007 t|
008 000425s2000 gw |||| 00||| eng d
016 7 |a 95883962X  |2 DE-101 
035 |a (OCoLC)76113519 
035 |a (DE-599)BVBBV013130215 
040 |a DE-604  |b ger  |e rakddb 
041 0 |a eng 
044 |a gw  |c DE 
049 |a DE-355 
100 1 |a Mathé, Peter  |e Verfasser  |4 aut 
245 1 0 |a Optimal discretization of inverse problems in Hilbert scales  |b regularization and self-regularization of projection methods  |c Peter Mathé ; Sergei V. Pereverzev. Weierstraß-Institut für Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.V. 
264 1 |a Berlin  |b WIAS  |c 2000 
300 |a 36 S. 
336 |b txt  |2 rdacontent 
337 |b n  |2 rdamedia 
338 |b nc  |2 rdacarrier 
490 1 |a Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint  |v 548 
500 |a Literaturverz. S. 34 - 36 
700 1 |a Pereverzev, Sergej V.  |e Verfasser  |4 aut 
830 0 |a Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint  |v 548  |w (DE-604)BV009885922  |9 548 
943 1 |a oai:aleph.bib-bvb.de:BVB01-008945433 

Datensatz im Suchindex

_version_ 1819245095369572352
any_adam_object
author Mathé, Peter
Pereverzev, Sergej V.
author_facet Mathé, Peter
Pereverzev, Sergej V.
author_role aut
aut
author_sort Mathé, Peter
author_variant p m pm
s v p sv svp
building Verbundindex
bvnumber BV013130215
ctrlnum (OCoLC)76113519
(DE-599)BVBBV013130215
format Book
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01215nam a22003131cb4500</leader><controlfield tag="001">BV013130215</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20000517 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">000425s2000 gw |||| 00||| eng d</controlfield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">95883962X</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)76113519</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV013130215</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mathé, Peter</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimal discretization of inverse problems in Hilbert scales</subfield><subfield code="b">regularization and self-regularization of projection methods</subfield><subfield code="c">Peter Mathé ; Sergei V. Pereverzev. Weierstraß-Institut für Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.V.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="b">WIAS</subfield><subfield code="c">2000</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">36 S.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Weierstraß-Institut für Angewandte Analysis und Stochastik &lt;Berlin&gt;: Preprint</subfield><subfield code="v">548</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Literaturverz. S. 34 - 36</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pereverzev, Sergej V.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Weierstraß-Institut für Angewandte Analysis und Stochastik &lt;Berlin&gt;: Preprint</subfield><subfield code="v">548</subfield><subfield code="w">(DE-604)BV009885922</subfield><subfield code="9">548</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-008945433</subfield></datafield></record></collection>
id DE-604.BV013130215
illustrated Not Illustrated
indexdate 2024-12-23T15:22:02Z
institution BVB
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-008945433
oclc_num 76113519
open_access_boolean
owner DE-355
DE-BY-UBR
owner_facet DE-355
DE-BY-UBR
physical 36 S.
publishDate 2000
publishDateSearch 2000
publishDateSort 2000
publisher WIAS
record_format marc
series Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint
series2 Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint
spelling Mathé, Peter Verfasser aut
Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods Peter Mathé ; Sergei V. Pereverzev. Weierstraß-Institut für Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.V.
Berlin WIAS 2000
36 S.
txt rdacontent
n rdamedia
nc rdacarrier
Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint 548
Literaturverz. S. 34 - 36
Pereverzev, Sergej V. Verfasser aut
Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint 548 (DE-604)BV009885922 548
spellingShingle Mathé, Peter
Pereverzev, Sergej V.
Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods
Weierstraß-Institut für Angewandte Analysis und Stochastik <Berlin>: Preprint
title Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods
title_auth Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods
title_exact_search Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods
title_full Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods Peter Mathé ; Sergei V. Pereverzev. Weierstraß-Institut für Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.V.
title_fullStr Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods Peter Mathé ; Sergei V. Pereverzev. Weierstraß-Institut für Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.V.
title_full_unstemmed Optimal discretization of inverse problems in Hilbert scales regularization and self-regularization of projection methods Peter Mathé ; Sergei V. Pereverzev. Weierstraß-Institut für Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.V.
title_short Optimal discretization of inverse problems in Hilbert scales
title_sort optimal discretization of inverse problems in hilbert scales regularization and self regularization of projection methods
title_sub regularization and self-regularization of projection methods
volume_link (DE-604)BV009885922
work_keys_str_mv AT mathepeter optimaldiscretizationofinverseproblemsinhilbertscalesregularizationandselfregularizationofprojectionmethods
AT pereverzevsergejv optimaldiscretizationofinverseproblemsinhilbertscalesregularizationandselfregularizationofprojectionmethods