Computational Methods for Applied Inverse Problems (Inverse and Ill-Posed Problems Series Book 56)
by Yanfei Wang, Anatoly G. Yagola, Changchun Yang, Higher Education Press, 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
Computational Methods for Applied Inverse Problems is a specialized volume in the Inverse and Ill-Posed Problems series. It focuses on computational and mathematical approaches to applied inverse problems, providing a technical reference for readers engaged with inverse analysis, ill-posed problems, and related areas of advanced study.
About This Book
Computational Methods for Applied Inverse Problems examines computational approaches to inverse problems, with emphasis on their applied and mathematically challenging aspects.
As Book 56 in the Inverse and Ill-Posed Problems series, it is suited to readers seeking a specialized reference within this field.
The book brings together contributions associated with Yanfei Wang, Anatoly G. Yagola, Changchun Yang, Higher Education Press, and additional listed contributors.
Its subject matter makes it relevant to advanced study and research involving inverse analysis, ill-posed problems, and computational mathematics.
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