The book "Computational aspects of solving optimal control problems" by N. P. Demenkova is a deep and fascinating study in the field of management theory and computing technologies. This work will be of interest not only to specialists in mathematics and engineering, but also to those who seek to understand how modern computational methods can be applied to solve complex optimization problems in various fields. In his book, Demenkov immerses the reader in a world of optimal control, where every decision matters, and every algorithm can change the course of events. The author considers not only theoretical foundations, but also practical aspects, which makes the material available to a wide audience. The book covers topics such as mathematical models, optimization algorithms, and the application of computational methods to real-world problems. The reader will be able to learn how to find optimal solutions in such areas as economics, ecology, transport and many others with the help of modern technologies. This book will be especially useful for students and graduate students studying applied mathematics, computer science and engineering disciplines. It will also attract the attention of practitioners working in the field of automation and control, as well as researchers seeking an in-depth understanding of computational methods. If you are interested in how to effectively manage resources and optimize processes, then this work will be a real find for you. One of the key themes of the book is the use of computing technologies to solve problems that traditionally require significant time and resource costs. Demenkov focuses on how modern algorithms and methods, such as genetic algorithms, gradient descent methods and others, can significantly speed up the process of finding optimal solutions. This makes the book relevant in the context of the rapid development of technologies and an increase in the amount of data that modern specialists work with. Style N. P. Demenkov is distinguished by clarity and logical presentation, which allows the reader to easily assimilate complex concepts. The author skillfully combines theory with practical examples, which makes the material not only informative, but also practically applicable. Readers familiar with Demenkov's other works will appreciate his ability to explain complex things in simple language, as well as his deep understanding of the subject. Computational aspects of solving optimal management problems will be a valuable addition to the library for anyone interested in modern optimization and management methods. It not only expands the horizons of knowledge, but also inspires new ideas and approaches in solving urgent problems. If you are looking for literature that will help you understand the intricacies of optimal management and computational methods, this book is your ideal choice. In conclusion, it is worth noting that Demenkov’s work is not just a textbook, but a real find for everyone who seeks to improve in the field of management and optimization. By reading this book, you will not only gain new knowledge, but also be able to put it into practice, which makes it especially valuable in the modern world, where effective resource management is becoming a key factor for success.