The book "Mathematical modeling of technological processes and the method of inverse problems" by Tikhonov A. N. and its co-authors is a unique work that combines theory and practice, offering readers a deep understanding of the basics of mathematical modeling in various areas of technology. This publication will be of particular interest to students, graduate students and specialists working in the field of engineering, applied mathematics, as well as all those who seek to deepen their knowledge in the field of mathematical modeling. The book examines the key aspects of mathematical modeling, starting with the basics and ending with complex methods that are used to solve inverse problems. Reverse problems are those where results are known and the parameters that lead to them need to be determined. This approach is widely applied in areas such as physics, biology, economics, and engineering. For example, in medicine, with the help of inverse tasks, it is possible to restore the internal parameters of the body according to the results of the examination, and in engineering - to optimize the production processes. Authors of the book, including Tikhonov A. N. A well-known specialist in the field of mathematical modeling, offer readers not only theoretical calculations, but also practical examples that will help to better understand how to apply the knowledge gained in practice. This makes the book especially valuable for those who want not only to get acquainted with the theory, but also to learn how to use it in real tasks. The book will be of interest to both senior technical students and practicing engineers who are looking for new approaches to solving complex problems. It can also attract the attention of researchers working in the field of applied mathematics and related disciplines, thanks to its in-depth analysis and modern methods presented in an accessible form. The topics raised in the book cover a wide range of issues related to modeling processes and systems. The authors emphasize the importance of accuracy and reliability of models, as well as how errors in modeling can lead to serious consequences in real applications. This makes the book relevant not only for theorists, but also for practitioners who need to take these aspects into account in their work. The writing style of Tikhonov and his co-authors is clear and logical, which allows readers to easily assimilate complex concepts. The book is filled with illustrations, graphs and examples, which makes it more clear and understandable. This is especially important for readers who may not be familiar with some aspects of mathematical modeling. If you are looking for literature on mathematical modeling, inverse problems, engineering sciences or applied mathematics, then “Mathematical modeling of technological processes and the method of inverse problems” will be a real find for you. This book will not only expand your knowledge, but also inspire new research and discoveries in the field of technology. Do not miss the opportunity to immerse yourself in the world of mathematical modeling and discover its limitless possibilities!