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| 1. |
Encyclopedia of Mathematical Geosciences / edited by B. S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg. - 1st ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(555 illus., 344 illus. in color. eReference.), ISBN 978-3-030-85040-1
(Encyclopedia of Earth Sciences Series)
DOI: 10.1007/978-3-030-85040-1
 Online-Ressource |
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| 2. |
Handbook of mathematical geosciences : fifty years of IAMG / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg. -
Cham: Springer, [2018]. - xxviii, 914 Seiten : Illustrationen, Diagramme, Karten, ISBN 978-3-319-78998-9
 Buch/keine Angabe |
Signatur: UBN/SK 950 S129
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| 3. |
Handbook of Mathematical Geosciences : Fifty Years of IAMG. -
Cham: Springer Nature, 2018. - 1 Online-Ressource (914 p.), ISBN 978-3-319-78999-6
Online-Ressource |
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| 4. |
Bhattacharya, Shuvajit: A Primer on Machine Learning in Subsurface Geosciences / by Shuvajit Bhattacharya. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XVII, 172 p. 130 illus., 118 illus. in color.), ISBN 978-3-030-71768-1
(Springer eBook Collection)
(SpringerBriefs in Petroleum Geoscience & Engineering)
DOI: 10.1007/978-3-030-71768-1
Online-Ressource |
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| 5. |
High performance computing and artificial intelligence for geosciences / editors Yuzhu Wang, Jinrong Jiang, Yangang Wang. -
Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023. - 1 Online-Ressource (vii, 178 Seiten) : Illustrationen, Diagramme, Karten, ISBN 978-3-0365-8181-1
Online-Ressource |
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| 6. |
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
Online-Ressource |
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| 7. |
Petrelli, Maurizio: Machine Learning for Earth Sciences : Using Python to Solve Geological Problems / by Maurizio Petrelli. - 1st ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XVI, 209 p. 102 illus., 99 illus. in color.), ISBN 978-3-031-35114-3
(Springer Textbooks in Earth Sciences, Geography and Environment)
DOI: 10.1007/978-3-031-35114-3
Online-Ressource |
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| 8. |
Wang, Lijing: Data science for the geosciences / Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Stanford University, California)… . -
Cambridge ; New York, NY ; Port Melbourne, VIC ; New Delhi ; Singapore: Cambridge University Press, 2024. - xiii, 244 Seiten, 8 ungezählte Seiten Bildtafeln : Illustrationen, Diagramme, ISBN 978-1-009-20141-4
Buch/keine Angabe |
Signatur: UBN/TG 1111 W246
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| 9. |
Liemohn, Michael W.: Data analysis for the geosciences : essentials of uncertainty, comparison, and visualization / Michael W. Liemohn (University of Michigan, USA). -
Hoboken, NJ: Wiley Blackwell, 2024. - xxiii, 424 Seiten : Illustrationen, Diagramme, ISBN 978-1-119-74787-1
(Advanced textbook ; 5)
Buch/keine Angabe |
Signatur: UBN/TG 1111 L719
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| 10. |
Ursegov, Stanislav: Adaptive Approach to Petroleum Reservoir Simulation / by Stanislav Ursegov, Armen Zakharian. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(IX, 86 p. 47 illus., 44 illus. in color.), ISBN 978-3-030-67474-8
(Advances in Oil and Gas Exploration & Production)
(Springer eBook Collection)
DOI: 10.1007/978-3-030-67474-8
Online-Ressource |
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| 11. |
Bustillo Revuelta, Manuel: The Basics of Aggregates / by Manuel Bustillo Revuelta. - 1st ed. 2024.. -
Cham: Springer International Publishing, 2024.. - 1 Online-Ressource(XI, 348 p. 434 illus., 407 illus. in color.), ISBN 978-3-031-42961-3
(Springer Textbooks in Earth Sciences, Geography and Environment)
DOI: 10.1007/978-3-031-42961-3
Online-Ressource |
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| 12. |
Petrelli, Maurizio: Introduction to Python in Earth Science Data Analysis : From Descriptive Statistics to Machine Learning / by Maurizio Petrelli. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XV, 229 p. 112 illus., 104 illus. in color.), ISBN 978-3-030-78055-5
(Springer Textbooks in Earth Sciences, Geography and Environment)
(Springer eBook Collection)
DOI: 10.1007/978-3-030-78055-5
Online-Ressource |
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| 13. |
Tolosana-Delgado, Raimon: Geostatistics for Compositional Data with R / by Raimon Tolosana-Delgado, Ute Mueller. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XXV, 259 p. 104 illus.), ISBN 978-3-030-82568-3
(Springer eBook Collection)
(Use R!)
DOI: 10.1007/978-3-030-82568-3
Online-Ressource |
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| 14. |
Jin, Ruoshi: Geological Background of Sandstone-Type Uranium Deposits in Ordos Basin, Northwest China / by Ruoshi Jin, Ren’an Yu, Peisen Miao. - 1st ed. 2023.. -
Singapore: Springer Nature Singapore, 2023.. - 1 Online-Ressource(XVIII, 405 p. 193 illus., 185 illus. in color.), ISBN 978-981-19-6028-4
(Springer Geology)
DOI: 10.1007/978-981-19-6028-4
Online-Ressource |
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| 15. |
Raynal Villaseñor, Jose A.: Frequency Analyses of Natural Extreme Events : A Spreadsheets Approach / by Jose A. Raynal Villaseñor. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XVII, 410 p. 304 illus., 300 illus. in color.), ISBN 978-3-030-86390-6
(Springer eBook Collection)
(Earth and Environmental Sciences Library)
DOI: 10.1007/978-3-030-86390-6
Online-Ressource |
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| 16. |
Freeden, Willi: Decorrelative Mollifier Gravimetry : Basics, Ideas, Concepts, and Examples / by Willi Freeden. - 1st ed. 2021.. -
Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XIX, 482 p. 196 illus., 168 illus. in color.), ISBN 978-3-030-69909-3
(Geosystems Mathematics)
(Springer eBook Collection)
DOI: 10.1007/978-3-030-69909-3
Online-Ressource |
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| 17. |
Agterberg, Frits: Geomathematics : theoretical foundations, applications and future developments / Frits Agterberg. -
Cham ; Heidelberg [u.a.]: Springer, 2014. - XX, 553 S. : graph. Darst., Kt., ISBN 978-3-319-06873-2
(Quantitative geology and geostatistics ; 18)
Buch/keine Angabe |
Signatur: UBN/RB 10103 A281
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| 18. |
Freeden, Willi: An invitation to geomathematics / Willi Freeden, Clemens Heine, M. Zuhair Nashed. -
Cham: Birkhäuser, [2019]. - 1 Online-Ressource (xvi, 129 Seiten) : Illustrationen, Diagramme, ISBN 978-3-030-13054-1
(Springer eBook Collection)
(Lecture Notes in Geosystems Mathematics and Computing)
(Springer eBooks : Mathematics and Statistics)
DOI: 10.1007/978-3-030-13054-1
Online-Ressource |
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| 19. |
Freeden, Willi: Exploratory Potential Methods in Geothermal Power Generation : A Survey on Innovative Gravimetry and Magnetometry / by Willi Freeden, Helga Nutz. - 1st ed. 2024.. -
Cham: Springer Nature Switzerland, 2024.. - 1 Online-Ressource(XXVI, 207 p. 1 illus.), ISBN 978-3-031-54412-5
(Lecture Notes in Geosystems Mathematics and Computing)
DOI: 10.1007/978-3-031-54412-5
Online-Ressource |
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| 20. |
Pb-Zn deposits and associated critical metals / editors Jia-Xi Zhou, Changqing Zhang, Tao Ren, Yue Wu. -
Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023. - 1 Online-Ressource (ix, 232 Seiten) : Illustrationen, Diagramme, Karten, ISBN 978-3-0365-8518-5
Online-Ressource |
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