An up-to-date overview of global optimization methods used to formulate and interpret geophysical observations, for researchers, graduate students and professionals.
An up-to-date overview of global optimization methods used to formulate and interpret geophysical observations, for researchers, graduate students and professionals.
Mrinal K. Sen is a professor of geophysics in the Dept. of Geological Sciences and a research professor at the Inst. for Geophysics of the John A. and Katherine G. Jackson School of Geosciences at the U. of Texas at Austin. He worked in the oil industry from 1979 to 1982 and has been employed at the U. of Texas since 1989. Sen's research interests include seismic wave propagation, inverse theory, and computational geophysics. He holds BS and MS degrees in applied geophysics from the Indian School of Mines and a PhD degree in geophysics from the U. of Hawaii at Manoa. He is a member of SEG, AGU, EAGE, SIAM, and the European Academy of Sciences.
Inhaltsangabe
Preface 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 References Index.
Preface 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 References Index.
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