The book "Markov processes (applied aspects)", created by a team of authors, is a fascinating and in-depth study of one of the most interesting trends in probability theory and mathematical statistics. This work will become an indispensable assistant for both students and practitioners seeking to understand and apply the concepts of Markov processes in various fields of science and technology. The book focuses on Markov processes mathematical models that describe systems that change in time, where the future state depends only on the current, and not on previous states. This property makes Markov processes particularly useful in fields such as economics, biology, engineering, and computer science. The authors seek not only to explain the theoretical foundations, but also to demonstrate how these concepts are applied in practice. The reader will be able to learn about real examples of the use of Markov processes in modeling financial markets, analyzing biological data and optimizing production processes. The book will be of interest to a wide range of readers: from undergraduate and graduate students studying mathematics and statistics, to professionals working in the field of data analysis, financial modeling and system analysis. If you are passionate about mathematics, statistics or want to expand your knowledge in the field of applied mathematics, then this publication will be a real find for you. It will help not only to deepen the understanding of the theory, but also to develop the practical skills necessary to solve complex problems. The topics raised in the book cover a wide range of issues, including the foundations of the theory of Markov processes, various types of Markov models, methods of their analysis and application. The authors pay attention to both classical aspects and modern approaches, which makes the book relevant and useful for readers seeking to be at the forefront of science. In addition, it deals with such important topics as the stability of Markov processes, their stationary distributions and methods of numerical modeling, which makes the material especially valuable for practical application. The style of the authors is distinguished by clarity and accessibility of presentation, which allows even complex mathematical concepts to be presented in an understandable and logical form. This makes the book not only a textbook, but also a fascinating reading for anyone interested in mathematics and its applications. The team of authors includes specialists with extensive experience in the field of probability theory and applied mathematics, which gives the book additional value. If you are looking for literature that will help you understand how Markov processes can be used to solve real problems, or want to deepen your knowledge in the field of probability models, then “Markov processes (applied aspects)” is what you need. This book will be your reliable companion in the world of applied mathematics, opening the door to new knowledge and opportunities. Do not miss the chance to immerse yourself in the exciting world of Markov processes and their applications Reading this book will not only enrich your knowledge, but also inspire new ideas and projects that can change your approach to solving problems in your professional activities.