Computation Optimization and Machine Learning in by Subhashis Mallick PAPERBACK
Computation, Optimization, and Machine Learning in Seismology
Subhashis Mallick (Author)
9781119654469, Wiley
Paperback / softback, published 2 October 2025
416 pages
24.9 x 17.5 x 2 cm, 0.771 kg
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.
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Details:Computation Optimization and Machine Learning in by Subhashis Mallick PAPERBACK
Computation, Optimization, and Machine Learning in Seismology
Subhashis Mallick (Author)
9781119654469, Wiley
Paperback / softback, published 2 October 2025
416 pages
24.9 x 17.5 x 2 cm, 0.771 kg
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:
Price now:
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£82.49
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£100.95
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Product Description
Computation, Optimization, and Machine Learning in Seismology
Subhashis Mallick (Author)
9781119654469, Wiley
Paperback / softback, published 2 October 2025
416 pages
24.9 x 17.5 x 2 cm, 0.771 kg
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:
Product Specifications
General | |
|---|---|
format | trade paperback |
Language | english |
series | agu advanced textbooks ser. |
type | textbook |
Brand | John Wiley & Sons Inc |
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