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
A detailed reference on computational techniques for solving inverse and ill-posed problems in applied mathematics, science, and engineering.
About This Book
This volume presents advanced computational methods for addressing inverse and ill-posed problems across scientific and engineering disciplines.
Contributions from leading researchers cover theoretical foundations, numerical algorithms, and practical applications in various fields.
The book serves as a key resource for mathematicians, scientists, and engineers working with complex inverse problems.
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