Numerical Methods and Their Economic Applications: A Tutorial by E. Authors A. Malyshevskaya, A. In. Eskova and G. A. Shcherbatyuk is not just a textbook, but a real find for students, graduate students and specialists in the field of economics and applied mathematics. In this edition, you will find a deep dive into the world of numerical methods, which become an integral part of modern data analysis and decision-making in economics. The authors, representing Komsomolsk-on-Amur State Technical University, offer readers not only theoretical foundations, but also practical examples of the application of numerical methods in various economic problems. This makes the book especially valuable for those who seek not only to study the theory, but also to apply the knowledge gained in practice. It addresses important topics such as optimization, economic process modeling, and risk analysis, allowing readers to better understand how mathematical methods can be used to solve real-world economic problems. The book will be of interest to students of economic and technical specialties, as well as practitioners working in the field of data analysis, financial modeling and project management. If you are looking for materials that will help you master the numerical methods and their application in economics, this guide will become your reliable companion. It is suitable for readers of different ages, from first-year students to experienced professionals who want to update their knowledge. The style of the authors is distinguished by clarity and accessibility of presentation, which allows even complex mathematical concepts to be perceived easily and with interest. Each chapter of the book is logically structured, which makes the learning process more efficient. In addition, the manual is filled with practical tasks and examples, which allows readers to consolidate their knowledge and apply them in real situations. The topics raised in the book are relevant and in demand in the modern world. In a rapidly changing economic environment, understanding numerical methods and their application is becoming a key success factor. The authors emphasize the importance of mathematical modeling in managerial decision-making, which makes this book especially valuable for future economists and analysts. If you are interested in works such as "