Stochastic Approximation Algorithms and Applications:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1997
|
| Schriftenreihe: | Applications of Mathematics, Stochastic Modelling and Applied Probability
35 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | In recent years algorithms of the stochastic approximation type have found applications in new and diverse areas, and new techniques have been developed for proofs of convergence and rate of convergence. The actual and potential applications in signal processing have exploded. New challenges have arisen in applications to adaptive control. This book presents a thorough coverage of the ODE method used to analyze these algorithms |
| Beschreibung: | 1 Online-Ressource (XXI, 417 p) |
| ISBN: | 9781489926968 9781489926982 |
| ISSN: | 0172-4568 |
| DOI: | 10.1007/978-1-4899-2696-8 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV042421765 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150317s1997 |||| o||u| ||||||eng d | ||
| 020 | |a 9781489926968 |c Online |9 978-1-4899-2696-8 | ||
| 020 | |a 9781489926982 |c Print |9 978-1-4899-2698-2 | ||
| 024 | 7 | |a 10.1007/978-1-4899-2696-8 |2 doi | |
| 035 | |a (OCoLC)849876919 | ||
| 035 | |a (DE-599)BVBBV042421765 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-384 |a DE-703 |a DE-91 |a DE-634 | ||
| 082 | 0 | |a 519.2 |2 23 | |
| 084 | |a MAT 000 |2 stub | ||
| 100 | 1 | |a Kushner, Harold J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic Approximation Algorithms and Applications |c by Harold J. Kushner, G. George Yin |
| 264 | 1 | |a New York, NY |b Springer New York |c 1997 | |
| 300 | |a 1 Online-Ressource (XXI, 417 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Applications of Mathematics, Stochastic Modelling and Applied Probability |v 35 |x 0172-4568 | |
| 500 | |a In recent years algorithms of the stochastic approximation type have found applications in new and diverse areas, and new techniques have been developed for proofs of convergence and rate of convergence. The actual and potential applications in signal processing have exploded. New challenges have arisen in applications to adaptive control. This book presents a thorough coverage of the ODE method used to analyze these algorithms | ||
| 650 | 4 | |a Mathematics | |
| 650 | 4 | |a Distribution (Probability theory) | |
| 650 | 4 | |a Probability Theory and Stochastic Processes | |
| 650 | 4 | |a Mathematik | |
| 650 | 0 | 7 | |a Stochastische Approximation |0 (DE-588)4183371-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Stochastische Approximation |0 (DE-588)4183371-5 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Yin, G. George |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4899-2696-8 |x Verlag |3 Volltext |
| 912 | |a ZDB-2-SMA |a ZDB-2-BAE | ||
| 940 | 1 | |q ZDB-2-SMA_Archive | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027857182 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Datensatz im Suchindex
| _version_ | 1804153095208304640 |
|---|---|
| any_adam_object | |
| author | Kushner, Harold J. |
| author_facet | Kushner, Harold J. |
| author_role | aut |
| author_sort | Kushner, Harold J. |
| author_variant | h j k hj hjk |
| building | Verbundindex |
| bvnumber | BV042421765 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)849876919 (DE-599)BVBBV042421765 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4899-2696-8 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02138nmm a2200469zcb4500</leader><controlfield tag="001">BV042421765</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150317s1997 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781489926968</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4899-2696-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781489926982</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-4899-2698-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4899-2696-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)849876919</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042421765</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.2</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kushner, Harold J.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic Approximation Algorithms and Applications</subfield><subfield code="c">by Harold J. Kushner, G. George Yin</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer New York</subfield><subfield code="c">1997</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXI, 417 p)</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Applications of Mathematics, Stochastic Modelling and Applied Probability</subfield><subfield code="v">35</subfield><subfield code="x">0172-4568</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">In recent years algorithms of the stochastic approximation type have found applications in new and diverse areas, and new techniques have been developed for proofs of convergence and rate of convergence. The actual and potential applications in signal processing have exploded. New challenges have arisen in applications to adaptive control. This book presents a thorough coverage of the ODE method used to analyze these algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Distribution (Probability theory)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probability Theory and Stochastic Processes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematik</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stochastische Approximation</subfield><subfield code="0">(DE-588)4183371-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Stochastische Approximation</subfield><subfield code="0">(DE-588)4183371-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yin, G. George</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4899-2696-8</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield><subfield code="a">ZDB-2-BAE</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_Archive</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027857182</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
| id | DE-604.BV042421765 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:09Z |
| institution | BVB |
| isbn | 9781489926968 9781489926982 |
| issn | 0172-4568 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027857182 |
| oclc_num | 849876919 |
| open_access_boolean | |
| owner | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
| owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
| physical | 1 Online-Ressource (XXI, 417 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Springer New York |
| record_format | marc |
| series2 | Applications of Mathematics, Stochastic Modelling and Applied Probability |
| spelling | Kushner, Harold J. Verfasser aut Stochastic Approximation Algorithms and Applications by Harold J. Kushner, G. George Yin New York, NY Springer New York 1997 1 Online-Ressource (XXI, 417 p) txt rdacontent c rdamedia cr rdacarrier Applications of Mathematics, Stochastic Modelling and Applied Probability 35 0172-4568 In recent years algorithms of the stochastic approximation type have found applications in new and diverse areas, and new techniques have been developed for proofs of convergence and rate of convergence. The actual and potential applications in signal processing have exploded. New challenges have arisen in applications to adaptive control. This book presents a thorough coverage of the ODE method used to analyze these algorithms Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastische Approximation (DE-588)4183371-5 gnd rswk-swf Stochastische Approximation (DE-588)4183371-5 s 1\p DE-604 Yin, G. George Sonstige oth https://doi.org/10.1007/978-1-4899-2696-8 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kushner, Harold J. Stochastic Approximation Algorithms and Applications Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastische Approximation (DE-588)4183371-5 gnd |
| subject_GND | (DE-588)4183371-5 |
| title | Stochastic Approximation Algorithms and Applications |
| title_auth | Stochastic Approximation Algorithms and Applications |
| title_exact_search | Stochastic Approximation Algorithms and Applications |
| title_full | Stochastic Approximation Algorithms and Applications by Harold J. Kushner, G. George Yin |
| title_fullStr | Stochastic Approximation Algorithms and Applications by Harold J. Kushner, G. George Yin |
| title_full_unstemmed | Stochastic Approximation Algorithms and Applications by Harold J. Kushner, G. George Yin |
| title_short | Stochastic Approximation Algorithms and Applications |
| title_sort | stochastic approximation algorithms and applications |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastische Approximation (DE-588)4183371-5 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastische Approximation |
| url | https://doi.org/10.1007/978-1-4899-2696-8 |
| work_keys_str_mv | AT kushnerharoldj stochasticapproximationalgorithmsandapplications AT yinggeorge stochasticapproximationalgorithmsandapplications |