The book "Mathematical Programming" by Baldin K. In. , Bryzgalova N. A. and Rukosoeva A. In. is a unique guide that immerses the reader in the world of optimization and mathematical models. This edition will be an indispensable assistant for both students and professionals seeking to deepen their knowledge in the field of mathematical programming. From the first pages, the book captures the reader's attention, offering not only theoretical foundations but also practical examples that make complex concepts accessible and understandable. The authors masterfully explain how mathematical programming can be applied to solve real problems in various fields, such as economics, logistics, engineering, and many others. An intriguing approach to the presentation of material allows the reader not only to assimilate information, but also to see its application in real life, which makes the learning process more exciting and productive. Who can like this book? First of all, it is addressed to students and graduate students studying mathematics, computer science, economics and related disciplines . However, due to its accessible presentation style and practical examples, it will also be of interest to specialists working in the field of data analysis, process optimization and decision-making. If you are looking to improve your skills or just want to understand how mathematical models can help in your professional activities, “Mathematical programming” will be a real discovery for you. The topics raised in the book are diverse and relevant. The authors examine in detail the methods of linear and nonlinear programming, dynamic programming and game theory. Each of these topics is disclosed from the point of view of practical application, which allows the reader not only to master the theory, but also to learn how to apply it in his work. The book also addresses the issues of resource optimization and decision-making in an uncertain environment, which is especially important in today's world, where data and information are becoming key assets. The style of the authors is clear and logical, which makes reading easy and exciting. They use many illustrations, graphs and examples, which helps to better assimilate the material. In addition, the work of the authors is not limited to this book .. Their previous publications are also noteworthy, as they cover a wide range of topics related to mathematical modeling and optimization. If you are looking for books that are similar in subject matter, pay attention to "