Nonlinear conjugate gradient methods for unconstrained optimization:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2020]
|
| Schriftenreihe: | Springer optimization and its applications
volume 158 |
| Schlagworte: | |
| Beschreibung: | xxviii, 498 Seiten Illustrationen, Diagramme (teilweise farbig) |
| ISBN: | 9783030429492 9783030429522 |
| ISSN: | 1931-6828 |
Internformat
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| 245 | 1 | 0 | |a Nonlinear conjugate gradient methods for unconstrained optimization |c Neculai Andrei |
| 264 | 1 | |a Cham |b Springer |c [2020] | |
| 264 | 4 | |c © 2020 | |
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| 650 | 4 | |a Optimization | |
| 650 | 4 | |a Mathematical Modeling and Industrial Mathematics | |
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Mathematical models | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-42950-8 |
| 830 | 0 | |a Springer optimization and its applications |v volume 158 |w (DE-604)BV021746093 |9 158 | |
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Datensatz im Suchindex
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| author | Andrei, Neculai |
| author_GND | (DE-588)171184645 |
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| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-sort | 3519.6 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| format | Book |
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| illustrated | Illustrated |
| index_date | 2024-07-03T17:24:51Z |
| indexdate | 2024-07-10T09:08:23Z |
| institution | BVB |
| isbn | 9783030429492 9783030429522 |
| issn | 1931-6828 |
| language | English |
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| physical | xxviii, 498 Seiten Illustrationen, Diagramme (teilweise farbig) |
| publishDate | 2020 |
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| publishDateSort | 2020 |
| publisher | Springer |
| record_format | marc |
| series | Springer optimization and its applications |
| series2 | Springer optimization and its applications |
| spelling | Andrei, Neculai Verfasser (DE-588)171184645 aut Nonlinear conjugate gradient methods for unconstrained optimization Neculai Andrei Cham Springer [2020] © 2020 xxviii, 498 Seiten Illustrationen, Diagramme (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Springer optimization and its applications volume 158 1931-6828 Optimization Mathematical Modeling and Industrial Mathematics Mathematical optimization Mathematical models Erscheint auch als Online-Ausgabe 978-3-030-42950-8 Springer optimization and its applications volume 158 (DE-604)BV021746093 158 |
| spellingShingle | Andrei, Neculai Nonlinear conjugate gradient methods for unconstrained optimization Springer optimization and its applications Optimization Mathematical Modeling and Industrial Mathematics Mathematical optimization Mathematical models |
| title | Nonlinear conjugate gradient methods for unconstrained optimization |
| title_auth | Nonlinear conjugate gradient methods for unconstrained optimization |
| title_exact_search | Nonlinear conjugate gradient methods for unconstrained optimization |
| title_exact_search_txtP | Nonlinear conjugate gradient methods for unconstrained optimization |
| title_full | Nonlinear conjugate gradient methods for unconstrained optimization Neculai Andrei |
| title_fullStr | Nonlinear conjugate gradient methods for unconstrained optimization Neculai Andrei |
| title_full_unstemmed | Nonlinear conjugate gradient methods for unconstrained optimization Neculai Andrei |
| title_short | Nonlinear conjugate gradient methods for unconstrained optimization |
| title_sort | nonlinear conjugate gradient methods for unconstrained optimization |
| topic | Optimization Mathematical Modeling and Industrial Mathematics Mathematical optimization Mathematical models |
| topic_facet | Optimization Mathematical Modeling and Industrial Mathematics Mathematical optimization Mathematical models |
| volume_link | (DE-604)BV021746093 |
| work_keys_str_mv | AT andreineculai nonlinearconjugategradientmethodsforunconstrainedoptimization |