Mathematical Modeling . Ideas. Methods. Examples" of the authors of Samara A. A. and Mikhailova A. P. is a fascinating and deep dive into the world of mathematical modeling, which has become an integral part of modern scientific research and practical applications. This edition will be of particular interest to those seeking to understand how abstract mathematical concepts can be applied to real-world problems in a variety of fields, from physics and engineering to economics and ecology. The authors, with extensive experience in mathematical modeling, offer readers not only theoretical foundations, but also practical examples that illustrate how ideas turn into mathematical models. The book covers a wide range of modeling methods, ranging from simple linear models to complex nonlinear systems, making it useful for both students and professionals working in the field. From the first pages, the reader plunges into the atmosphere of scientific search and creative thinking. The authors emphasize that mathematical modeling is not just a set of formulas and algorithms, but a whole process that requires intuition, creativity and a deep understanding of the subject area. They emphasize that the creation of a model is, above all, an art in which it is important not only to correctly apply mathematical methods, but also to be able to see behind them real processes and phenomena. The book will be especially useful for students and graduate students studying mathematics, physics, computer science and related disciplines. It will also attract the attention of practitioners who are looking for new approaches to solving complex problems in their work. If you are interested in how mathematical models can help in data forecasting, optimization and analysis, this publication will be a real discovery for you. The topics raised in the book cover a wide range of issues, including methods of numerical analysis, statistical methods, probability theory, and more. The authors share their knowledge on how to correctly formulate tasks, choose appropriate methods and interpret the results. This makes the book not only a tutorial, but also a practical guide for those who want to apply mathematical modeling in their professional activities. The style of the authors is characterized by accessibility and clarity of presentation, which allows readers to easily assimilate even the most complex concepts. Their approach to learning is based on the principle of "from simple to complex", which makes the book ideal for self-education. In addition, Samarsky A. A. and Mikhailov A. P. are known for their other work in mathematics and applied sciences, which adds additional value to their new edition. If you are looking for mathematical modeling books that will help you develop your skills and broaden your horizons of knowledge, "Mathematical Modeling. Ideas. Methods. Examples" will be a great choice. This is not just a book, but a whole world of possibilities that opens up before you as you begin to understand how mathematics can be used to describe and analyze the surrounding reality. Do not miss the chance to delve into this fascinating topic and discover new horizons in the world of science and technology.