Computation Optimization Machine Learning by Mallick Subhashis (14 results)
Language: English
Published by John Wiley and Sons 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
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Language: English
Published by American Geophysical Union 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
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Language: English
Published by American Geophysical Union 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
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Language: English
Published by John Wiley and Sons Inc, US 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
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Paperback. Condition: New. A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations to identify subsurface rock properties. With recent advances in computing… technology, including machine learning, it is now possible to automate matching procedures and use waveform inversion or optimization to create large-scale models. Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data. Volume highlights include: Mathematical foundations and key equations for computational seismologyEssential theories, including wave propagation and elastic wave theoryProcessing, mapping, and interpretation of prestack dataModel-based optimization and artificial intelligence methodsApplications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problemsExercises applying the main concepts of each chapter.
Language: English
Published by John Wiley & Sons Inc 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
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Paperback. Condition: new. Paperback. A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations to identify subsurface rock properties. With recent advances i…n computing technology, including machine learning, it is now possible to automate matching procedures and use waveform inversion or optimization to create large-scale models. Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data. Volume highlights include: Mathematical foundations and key equations for computational seismologyEssential theories, including wave propagation and elastic wave theoryProcessing, mapping, and interpretation of prestack dataModel-based optimization and artificial intelligence methodsApplications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problemsExercises applying the main concepts of each chapter Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by American Geophysical Union 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
- First Edition
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Condition: New. 2025. 1st Edition. paperback. . . . . .
Language: English
Published by Amer Geophysical Union 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 400 pages. 6.90x0.80x9.80 inches. In Stock.
Language: English
Published by John Wiley & Sons Inc 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
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Paperback. Condition: new. Paperback. A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations to identify subsurface rock properties. With recent advances i…n computing technology, including machine learning, it is now possible to automate matching procedures and use waveform inversion or optimization to create large-scale models. Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data. Volume highlights include: Mathematical foundations and key equations for computational seismologyEssential theories, including wave propagation and elastic wave theoryProcessing, mapping, and interpretation of prestack dataModel-based optimization and artificial intelligence methodsApplications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problemsExercises applying the main concepts of each chapter Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by American Geophysical Union 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
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Condition: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by John Wiley & Sons Inc Okt 2025 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - A textbook applying fundamental seismology theories to the latest computational tools.
Language: English
Published by John Wiley and Sons Inc, US 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New. A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations to identify subsurface rock properties. With recent advances in computing… technology, including machine learning, it is now possible to automate matching procedures and use waveform inversion or optimization to create large-scale models. Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data. Volume highlights include: Mathematical foundations and key equations for computational seismologyEssential theories, including wave propagation and elastic wave theoryProcessing, mapping, and interpretation of prestack dataModel-based optimization and artificial intelligence methodsApplications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problemsExercises applying the main concepts of each chapter.
Language: English
Published by John Wiley & Sons Inc 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Computation, Optimization, and Machine Learning in Seismology | Subhashis Mallick | Taschenbuch | AGU Advanced Textbooks | Einband - flex.(Paperback) | Englisch | 2025 | John Wiley & Sons Inc | EAN 9781119654469 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[…at]libri[dot]de | Anbieter: preigu.
Language: English
Published by American Geophysical Union 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
Seller: Ubiquity Trade, Miami, FL, U.S.A.Ubiquity Trade
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Language: English
Published by John Wiley & Sons Inc 2025
Series: AGU Advanced Textbooks, Book 8 of 8. Book 8 of 8 - AGU Advanced Textbooks
- Softcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condition: new. Paperback. A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations to identify subsurface rock properties. With recent advances i…n computing technology, including machine learning, it is now possible to automate matching procedures and use waveform inversion or optimization to create large-scale models. Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data. Volume highlights include: Mathematical foundations and key equations for computational seismologyEssential theories, including wave propagation and elastic wave theoryProcessing, mapping, and interpretation of prestack dataModel-based optimization and artificial intelligence methodsApplications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problemsExercises applying the main concepts of each chapter Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
