Computation optimization machine learning de mallick subhashis (14 resultados)
Idioma: Inglés
Editorial: John Wiley and Sons 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: American Geophysical Union 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Editorial: American Geophysical Union 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Idioma: Inglés
Editorial: John Wiley and Sons Inc, US 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Paperback. Condición: 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.
Idioma: Inglés
Editorial: John Wiley & Sons Inc 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 138,58
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Paperback. Condición: 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.
Idioma: Inglés
Editorial: Amer Geophysical Union 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Paperback. Condición: Brand New. 400 pages. 6.90x0.80x9.80 inches. In Stock.
Idioma: Inglés
Editorial: American Geophysical Union 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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- Primera edición
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Condición: New. 2025. 1st Edition. paperback. . . . . .
Idioma: Inglés
Editorial: John Wiley & Sons Inc 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Paperback. Condición: 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.
Idioma: Inglés
Editorial: American Geophysical Union 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
- Tapa blanda
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Condición: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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Editorial: John Wiley & Sons Inc Okt 2025 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 127,51
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Taschenbuch. Condición: Neu. Neuware - A textbook applying fundamental seismology theories to the latest computational tools.
Idioma: Inglés
Editorial: John Wiley and Sons Inc, US 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Paperback. Condición: 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.
Idioma: Inglés
Editorial: John Wiley & Sons Inc 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 136,90
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Taschenbuch. Condición: 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.
Idioma: Inglés
Editorial: American Geophysical Union 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Condición: New. Brand new! Please provide a physical shipping address.
Idioma: Inglés
Editorial: John Wiley & Sons Inc 2025
Serie: AGU Advanced Textbooks, Libro 8 de 8. Libro 8 de 8 - AGU Advanced Textbooks
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condición: 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.
