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Computational Methods for Applied Inverse Problems: Inverse and Ill-Posed Problems Series, cartea 56

Contribuţii de Y. Bai, G. Bao, J. J. Cao, H. Cheng, Y. H. Dai, C. Z. Dong, G. S. Dulikravich, I. N. Egorov, C. L. Fu, L. J. Gelius, L. L. Hao, X. H. Huang, S. I. Kabanikhin, I. V. Kochikov, G. M. Kuramshina, G. S. Li, P. J. Li, Z. H. Li, J. J. Liu, X. D. Liu, Y. J. Ma, M. T. Nair, V. L. Panteleev, L. M. Pinheiro, M. A. Shishlenin, H. B. Song, Y. Song, A. V. Stepanova, T. Sun, Y. F. Wang, Z. H. Xiang, T. Y. Xiao, H. L. Xu, A. G. Yagola, C. C. Yang, H. Yang, B. Zang, H. Zhang, L. V. Zotov Editat de Yanfei Wang, Anatoly G. Yagola, Changchun Yang Higher Education Press
en Mixed media product – 31 dec 2011
This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. Readers who do research in applied mathematics, engineering, geophysics, biomedicine, image processing, remote sensing, and environmental sciencewill benefit from the contents since the book incorporates a background of using statistical and non-statistical methods, e.g., regularization and optimization techniques for solving practical inverse problems.
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Specificații

ISBN-13: 9783112204412
ISBN-10: 3112204417
Ilustrații: Includes a print version and an ebook
Ediția:
Editura: De Gruyter
Seria Inverse and Ill-Posed Problems Series

Locul publicării:Berlin/Boston

Notă biografică

Yanfei Wang, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China; Anatoly G. Yagola, Lomonosov Moscow State University, Russia; Changchun Yang, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China.