Numerical Methods for Solving Differential Equations in Partial Derivatives . Recommended method" edited by A. C. Skichko is an important work that opens the door to the world of complex mathematical models and their practical application. Unlike many textbooks devoted to theory, this edition offers the reader not only theoretical foundations, but also practical methods that can be used to solve real problems. This book contains the works of a team of authors, each of whom is an expert in his field. They offer the reader a unique view of numerical methods that allow for the effective solution of partial differential equations (PPD). These equations are found in a wide variety of fields of science and technology, from physics and engineering to economics and biology. The book will be of interest to both undergraduate and graduate students, as well as practitioners who wish to deepen their knowledge in the field of numerical methods. One of the key topics addressed in the book is the application of numerical methods for modeling complex processes. The authors explain in detail how with the help of various algorithms it is possible to find approximate solutions to DHD, which is especially important in conditions where analytical methods are ineffective or impossible. The reader will learn about the methods of finite differences, finite elements and other approaches that allow solving problems related to heat exchange, fluid mechanics and many other areas. The book also raises important questions regarding the accuracy and stability of numerical solutions. The authors focus on how to choose the right methods and parameters to achieve the best results. This makes the book especially valuable for those who work with models that require high accuracy, for example, in aerodynamics or hydrodynamics. The style of presentation in the book is distinguished by clarity and accessibility .. The authors strive to make complex mathematical concepts understandable to a wide audience, which makes the work useful not only for professionals, but also for students who are just starting their way in studying numerical methods. The book is replete with examples and illustrations, which helps to better absorb the material and apply it in practice. If you are looking for literature on numerical methods that combines theory and practice, then Numerical Methods for Solving Differential Equations in Private Derivatives Recommended method" will be an excellent choice. This edition will be useful for both technical students and researchers working in the field of applied mathematics and related disciplines. In addition, the book may be of interest to those who are engaged in scientific research and are looking for new approaches to solving complex problems. In it you will find not only useful methods, but also inspiration for further research. It is important to note that the work of A. C. Skichko and his colleagues are not just a textbook, but a whole encyclopedia of knowledge that will help you confidently navigate the world of numerical methods. Thus, "numerical methods for solving partial differential equations. Recommended Method" is a book that will not leave indifferent anyone who is interested in mathematics and its applications in the real world. Do not miss the opportunity to immerse yourself in the fascinating world of numerical methods and discover new horizons in solving complex problems!