The article discusses a collection of books related to computational physics and ocean acoustics. It includes reviews of several books, such as "Computational Ocean Acoustics" by Jensen, Kuperman, Porter, and Schmidt, which is a textbook for a course on ocean acoustics, covering topics like wave propagation, ray methods, and numerical methods. Another book, "Oceanography and Acoustics: Prediction and Propagation Models," edited by Robinson and Lee, provides an overview of recent research on ocean dynamics and acoustical propagation. The article also covers other books on topics like stereo computer graphics, neural networks, and computational geometry. Reviews highlight the technical depth and interdisciplinary nature of these works, emphasizing their relevance to physicists and engineers working in these fields. The collection aims to provide a comprehensive background for those entering or working in the field of neural networks, highlighting important contributions in statistical physics of neural networks. The books reviewed are recommended for their clarity, mathematical completeness, and practical applications in various scientific domains.The article discusses a collection of books related to computational physics and ocean acoustics. It includes reviews of several books, such as "Computational Ocean Acoustics" by Jensen, Kuperman, Porter, and Schmidt, which is a textbook for a course on ocean acoustics, covering topics like wave propagation, ray methods, and numerical methods. Another book, "Oceanography and Acoustics: Prediction and Propagation Models," edited by Robinson and Lee, provides an overview of recent research on ocean dynamics and acoustical propagation. The article also covers other books on topics like stereo computer graphics, neural networks, and computational geometry. Reviews highlight the technical depth and interdisciplinary nature of these works, emphasizing their relevance to physicists and engineers working in these fields. The collection aims to provide a comprehensive background for those entering or working in the field of neural networks, highlighting important contributions in statistical physics of neural networks. The books reviewed are recommended for their clarity, mathematical completeness, and practical applications in various scientific domains.