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By Sen
Sen, 2013
This updated edition offers a comprehensive look at popular global optimization techniques for interpreting geophysical observations. It details the theoretical underpinnings of each method and provides thorough explanations of algorithm design, implementation, and limitations. New and expanded sections cover recent advancements like the neighborhood algorithm, particle swarm optimization, and hybrid Monte Carlo methods. The book features new application examples, from climate modeling uncertainties to Earth system studies.