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Stewart, David E.: Numerical Analysis: A Graduate Course / by David E. Stewart. - 1st ed. 2022.. - Cham: Springer International Publishing, 2022.. - 1 Online-Ressource(XV, 632 p. 114 illus., 66 illus. in color.), ISBN 978-3-031-08121-7 (CMS/CAIMS Books in Mathematics ; 4) DOI: 10.1007/978-3-031-08121-7
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Mitsotakis, Dimitrios: Computational mathematics : an introduction to numerical analysis and scientific computing with Python / Dimitrios Mitsotakis. - First edition. - Boca Raton ; London ; New York: CRC Press, 2023. - 1 Online-Ressource (xvii, 508 Seiten) : Illustrationen, ISBN 978-1-003-28729-2 (Advances in applied mathematics) DOI: 10.1201/9781003287292
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Yousefzadeh, Reza: Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization : Robust Optimization and History Matching / by Reza Yousefzadeh, Alireza Kazemi, Mohammad Ahmadi, Jebraeel Gholinezhad. - 1st ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XIV, 132 p. 27 illus., 23 illus. in color.), ISBN 978-3-031-28079-5 (SpringerBriefs in Petroleum Geoscience & Engineering) DOI: 10.1007/978-3-031-28079-5
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Kharab, Abdelwahab: An introduction to numerical methods : a MATLAB approach / Dr. Abdelwahab Kharab (Zayed University), Professor Ronald B. Guenther (Oregon State University). - Fifth edition. - Boca Raton ; London ; New York: CRC Press, 2023. - xv, 614 Seiten : Illustrationen, Diagramme, ISBN 978-1-032-40682-4 (Numerical analysis and scientific computing series) DOI: 10.1201/9781003354284
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Shelfmark: UBN/ST 601 K45(5)
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Corriou, Jean-Pierre: Numerical Methods and Optimization : Theory and Practice for Engineers / by Jean-Pierre Corriou. - 1st ed. 2021.. - Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XX, 715 p. 228 illus., 154 illus. in color.), ISBN 978-3-030-89366-8 (Springer eBook Collection) (Springer Optimization and Its Applications ; 187) DOI: 10.1007/978-3-030-89366-8
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Karpfinger, Christian: Calculus and linear Algebra in recipes : terms, phrases and numerous examples in short learning units / Christian Karpfinger. - Third edition. - Berlin: Springer, 2022. - 1 Online-Ressource (XXVI, 1038 Seiten), ISBN 978-3-662-65458-3 (Springer eBook Collection) DOI: 10.1007/978-3-662-65458-3
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Computational statistics in data science / edited by Walter W. Piegorsch (University of Arizona), Richard A. Levine (San Diego State University… . - Hoboken, NJ: Wiley, 2022. - 1 Online-Ressource (xxx, 636 Seiten) : Illustrationen, ISBN 978-1-119-56105-7
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Entscheidungen in die weite Zukunft : Ungewissheiten bei der Entsorgung hochradioaktiver Abfälle / herausgegeben von Anne Eckhardt, Frank Becker, Volker Mintzlaff, Dirk Scheer, Roman Seidl. - 1st ed. 2024.. - Wiesbaden: Springer Fachmedien Wiesbaden, 2024.. - 1 Online-Ressource(IX, 403 S. 37 Abb., 31 Abb. in Farbe.), ISBN 978-3-658-42698-9 (Energiepolitik und Klimaschutz. Energy Policy and Climate Protection) DOI: 10.1007/978-3-658-42698-9
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Cassel, Kevin W.: Matrix, numerical, and optimization methods in science and engineering / Kevin W. Cassel (Illinois Institute of Technology). - Cambridge ; New York, NY: Cambridge University Press, 2021. - xv, 710 Seiten : Diagramme, Illustrationen, ISBN 978-1-108-47909-7 DOI: 10.1017/9781108782333
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Shelfmark: UBN/SK 950 C344
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10. |
Mitsui, Taketomo: Numerical Analysis of Ordinary and Delay Differential Equations / by Taketomo Mitsui, Guang-Da Hu. - 1st ed. 2023.. - Singapore: Springer Nature Singapore, 2023.. - 1 Online-Ressource(VIII, 113 p. 37 illus., 9 illus. in color.), ISBN 978-981-19-9263-6 (Unitext - La Matematica per il 3+2 ; 145) DOI: 10.1007/978-981-19-9263-6
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D'Ambrosio, Raffaele: Numerical Approximation of Ordinary Differential Problems : From Deterministic to Stochastic Numerical Methods / by Raffaele D'Ambrosio. - 1st ed. 2023.. - Cham: Springer Nature Switzerland, 2023.. - 1 Online-Ressource (XIV, 385 p. 62 illus.), ISBN 978-3-031-31343-1 (La Matematica per il 3+2 ; 148) DOI: 10.1007/978-3-031-31343-1
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Gröhl, Janek: Data-driven quantitative photoacoustic imaging / vorgelegt von Janek Matthias Gröhl ; [Erstgutachterin:] Prof. Dr. Lena Maier-Hein. - Heidelberg, 2021. - 1 Online-Ressource (185 Seiten) DOI: 10.11588/heidok.00029676
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Belabas, Karim: Numerical algorithms for number theory : using Pari/GP / Karim Belabas, Henri Cohen. - Providence, Rhode Island: American Mathematical Society, [2021]. - ix, 429 Seiten : Diagramme, ISBN 978-1-4704-6351-9 (Mathematical surveys and monographs ; volume 254)
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Shelfmark: UBN/SK 180 B425
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14. |
König-Kersting, Christian: Essays in behavioral finance : risk, ambiguity, and strategic uncertainty / vorgelegt von Christian König genannt Kersting. - Heidelberg, 2019. - 1 Online-Ressource (iv, 163 Seiten) DOI: 10.11588/heidok.00026551
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Modeling, simulation and optimization of fluid dynamic applications / Armin Iske, Thomas Rung, editors. - Cham: Springer, 2023. - 1 Online-Ressource (VII, 163 Seiten), ISBN 978-3-031-45158-4 (Lecture notes in computational science and engineering ; volume 148) DOI: 10.1007/978-3-031-45158-4
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Ehteram, Mohammad: Estimating Ore Grade Using Evolutionary Machine Learning Models / by Mohammad Ehteram, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, Maliheh Abbaszadeh. - 1st ed. 2023.. - Singapore: Springer Nature Singapore, 2023.. - 1 Online-Ressource(XIII, 101 p. 45 illus., 39 illus. in color.), ISBN 978-981-19-8106-7 DOI: 10.1007/978-981-19-8106-7
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Kreusch, Jürgen: Entsorgungspfade für hoch radioaktive Abfälle : Analyse der Chancen, Risiken und Ungewissheiten / Jürgen Kreusch, Wolfgang Neumann, Anne Eckhardt. - Wiesbaden: Springer, [2019]. - 1 Online-Ressource (XIV, 138 Seiten) : Illustrationen, Diagramme, ISBN 978-3-658-26710-0 (Springer eBooks : Computer Science and Engineering) (Energie in Naturwissenschaft, Technik, Wirtschaft und Gesellschaft) DOI: 10.1007/978-3-658-26710-0
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Proceedings of the Conference on the Numerical Solution of Ordinary Differen-Univ. of Texas at Austin / Ed. by Dale G. Bettis. Bettis. - Berlin [u.a.]: Springer, 1974. - VIII, 490 S. : graph. Darst., ISBN 978-0-387-06602-8 (Lecture notes in mathematics ; 362)
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Jando, Dörte: Efficient goal-oriented global error estimation for BDF-type methods using discrete adjoints / Dörte Beigel, 2012. - Online-Ressource DOI: 10.11588/heidok.00014317
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Richter, Mathias: Inverse Probleme mit stochastisch modellierten Messdaten : Stochastische und numerische Methoden der Diskretisierung und Optimierung / Mathias Richter, Stefan Schäffler. - Berlin: Springer Spektrum, [2022]. - 1 Online-Ressource (XVI, 289 Seiten) : Illustrationen, ISBN 978-3-662-66343-1 DOI: 10.1007/978-3-662-66343-1
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