Computation, Optimization, and Machine Learning in Seismology

Language: English

Published by John Wiley & Sons Inc Okt 2025, 2025

1119654467 / 9781119654469

Series: Book 8 of 8 - AGU Advanced Textbooks

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  • New
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - 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 seismology - Essential theories, including wave propagation and elastic wave theory - Processing, mapping, and interpretation of prestack data - Model-based optimization and artificial intelligence methods - Applications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problems - Exercises applying the main concepts of each chapter.

Seller Inventory # 9781119654469

Title
Computation, Optimization, and Machine Learning in Seismology
Author
Subhashis Mallick
Publisher
John Wiley & Sons Inc Okt 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1119654467
ISBN 13
9781119654469
Item weight
882 grams
Dimensions
255x177x22 mm
Series
Book 8 of 8: AGU Advanced Textbooks

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.36US$ 35.36
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