Looking for an examination copy?
If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact email@example.com providing details of the course you are teaching.
Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration.Read more
- Provides simple descriptions of global optimization methods, without complex mathematics, enabling quick understanding of the material
- Describes the theoretical developments behind each method in detail, providing readers with full background knowledge
- Presents numerous examples of up-to-date applications, providing a complete reference for solving geophysical and engineering optimization problems
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: March 2018
- format: Paperback
- isbn: 9781108445849
- length: 302 pages
- dimensions: 245 x 170 x 16 mm
- weight: 0.55kg
- contains: 114 b/w illus. 4 tables
- availability: Available
Table of Contents
1. Preliminary statistics
2. Direct, linear, and iterative-linear inverse methods
3. Monte Carlo methods
4. Simulated annealing methods
5. Genetic algorithms
6. Other global optimization methods
7. Geophysical applications of SA and GA
8. Uncertainty estimation
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
*This title has one or more locked files and access is given only to instructors adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.
These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.
If you are having problems accessing these resources please email firstname.lastname@example.org
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email email@example.comRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×