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Wiley Computation, Optimization, and Machine Learning in Seismology (AGU Advanced Textbooks)

Amazon

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£91.75 £70.56 £75.19 £79.81 £84.43 £89.05 £93.68 25 July 2026 15 August 2026 05 September 2026 26 September 2026 17 October 2026
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6 days 1 day 9 days 24 days · current 7 days 7 days 0 6 12 18 24 £73 £76 £79 £83 £87 £92 Days at Price

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Price range: £73 - £92

Price levels: 6 different prices over 54 days

Description

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

Product Specifications

Brand
Wiley
Format
paperback
Domain
Amazon UK
Release Date
02 October 2025
Listed Since
16 September 2021

Barcode

No barcode data available

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