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Название: Математика в задачах с решениями: учебное пособие для СПО, 9-е изд.
Автор: Лисичкин В.Т., Соловейчик И.Л.
Издательство: Лань
Год: 2022
Страниц: 465
Язык: русский
Формат: pdf
Размер: 15,3 MB

Настоящее пособие предназначено для учащихся техникумов и может быть с успехом использовано учащимиси 10-11-х классов средней школы. Оно начинается с вводной главы, в которую включено несколько тем для повторения школьного курса математики. Задачи и примеры этой главы помогут учащимся восстановить навыки в алгебраических и тригонометрических преобразованиях. Это дает возможность использовать книгу абитуриентам для подготовки к вступительным экзаменам в вузы. Имеется большое количество примеров и задач для самостоятельного решения. Ко всем задачам в конце книги даны ответы, а ко многим — указания и решения. В конце каждой главы даны вопросы для конспектирования. Кроме того, каждая глава содержит два варианта контрольных заданий, которые позволяют учащимся самостоятельно проверять усвоение программного материала по математике. Учебное пособие адресовано учащимся средних специальных учебных заведений.

Название: Сборник заданий по черчению
Автор: Миронова Р.С., Миронов Б.Г.
Издательство: М.: Высшая школа
Год: 1984
Формат: pdf
Страниц: 264
Размер: 19 Мб
Язык: русский

Сборник содержит задания но всем темам курса, кроме раздела «Схемы». Представлены материалы по деталированию, а также задания для контрольных работ. Предназначен для учащихся машиностроительных специальностей техникумов.

Название: Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models
Автор: Nan Chen
Издательство: Springer
Серия: Synthesis Lectures on Mathematics & Statistics
Год: 2023
Страниц: 208
Язык: английский
Формат: pdf (true), epub
Размер: 27.2 MB

This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. An emphasis is placed on the balance between computational efficiency and modeling accuracy, providing readers with ideas to build useful models in practice. Successful modeling of complex systems requires a comprehensive use of qualitative and quantitative modeling approaches, novel efficient computational methods, physical intuitions and thinking, as well as rigorous mathematical theories. As such, mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools are presented. Both theoretical and numerical approaches are included, allowing readers to choose suitable methods in different practical situations. The author provides practical examples and motivations when introducing various mathematical and stochastic tools and merges mathematics, statistics, information theory, computational science, and Data Science. Machine Learning has become a prevalent and powerful tool to advance the modeling and forecast of many complex dynamical systems. One of the main advantages of machine learning is its computational efficiency. In fact, once a Machine Learning model is trained, the forecast utilizing such a model is often much cheaper than numerically integrating a traditional high-dimensional nonlinear dynamical model made up of explicit parametric terms.

Название: Лаборатория виртуальной и дополненной реальности как модель открытого образовательного пространства
Автор: Лавриненко Т.Д., Машкова Е.В., Комарова Э.В., Непша О.И. и др.
Издательство: Владивосток: Дальневосточный федеральный университет
Год: 2019
Формат: pdf
Страниц: 206
Размер: 10 mb
Язык: русский

Пособие представлено в виде педагогического проекта, предназначенного для педагогов системы дополнительного образования, учителей общеобразовательных школ, а также студентов бакалавриата и магистратуры психолого-педагогического направления, изучающих дисциплины, направленные на получение проектировочных компетенций для разработки и реализации педагогических и образовательных проектов. В пособии представлены педагогические проекты разных авторов, объединенные общей идеей создания лаборатории виртуальной и дополненной реальности как пространства профессиональных проб подростков.

Название: Химическое загрязнение биосферы и экологические правонарушения
Автор: Тимофеева Е.А.
Издательство: М.: Изд. МГУ им. М.В. Ломоносова Teach-in
Год: 2022
Формат: pdf
Страниц: 146
Размер: 11 mb
Язык: Русский

В пособие вошли лекции по следующим темам:
Загрязняющие вещества в окружающей среде (ЗВ в ОС).
Нормирование антропогенных воздействий и качества окружающей среды.
Нормирование на основе методологии приемлемого риска.
Ответственность за нарушения в области охраны окружающей среды (ООС).
Химическое загрязнение атмосферы.
Мероприятия по охране атмосферного воздуха.
Загрязнение биосферы тяжелыми металлами.

Название: Fuzzy Systems Modeling in Environmental and Health Risk Assessment
Автор: Boris Faybishenko, Rehan Sadiq
Издательство: Wiley
Год: 2023
Страниц: 332
Язык: английский
Формат: pdf (true)
Размер: 15.8 MB

Fuzzy Systems Modeling in Environmental and Health Risk Assessment Demonstrates the successful application of fuzzy systems modeling to real-world environmental and health problems. In Fuzzy Systems Modeling in Environmental and Health Risk Assessment, a team of distinguished researchers delivers an up-to-date collection of the most successful and innovative attempts to apply fuzzy logic to problems involving environmental risk assessment, healthcare decision-making, the management of water distribution networks, and the optimization of water treatment and waste management systems. By explaining both the theoretical and practical aspects of using fuzzy systems modeling methods to solve complex problems, analyze risks and optimize system performance, this handy guide maintains a strongly application-oriented perspective throughout, offering readers a practical treatment of a cutting-edge subject. Since the pioneering work of Lotfi Zadeh, fuzzy logic (FL) analysis has been applied successfully in many scientific and real-life engineering situations, such as electrical, mechanical, civil, chemical, aerospace, agricultural, biomedical, computer, environmental, geological, industrial, etc.

Название: Recycling For Dummies
Автор: Sarah Winkler
Издательство: For Dummies
Год: 2023
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 20.1 MB

Learn the facts about recycling and discover the best way to make an impact. Recycling is a simple action we can take that has an immediate positive effect. It keeps waste out of landfills, conserves natural resources, prevents pollution, and saves energy. Who wouldn’t want to do this? But recycling isn’t always straightforward. With so many different rules, it can be tough to work out the right thing to do. If you’re worried that you’re not recycling properly, or wondering whether you could be recycling more, this is the book for you. Recycling For Dummies cuts through the confusion around what you can and can’t recycle. This easy-to-follow manual breaks down recycling codes, symbols, and rules in a straightforward way that anyone can understand and apply.

Название: Applied Categorical and Count Data Analysis, 2nd Edition
Автор: Wan Tang, Hua He, Xin M. Tu
Издательство: CRC Press
Год: 2023
Страниц: 395
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies.

Название: Math for Business and Economics: Compendium of Essential Formulas, 2nd Edition
Автор: Franz W. Peren
Издательство: Springer
Год: 2023
Страниц: 645
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This 2nd edition, revised and extended compendium contains and explains essential mathematical formulas within an economic context. Newly added content focuses on financial mathematics, now including an international comparison between different national methods used in the calculation of interest. Further, the annuity calculation now contains unique content. A broad range of aids and supportive examples will help readers to understand the formulas and their practical applications. This mathematical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed for meaningful and relevant application in global business, as well as in the academic setting and economic practice. The topics presented include, but are not limited to: mathematical signs and symbols, logic, arithmetic, algebra, linear algebra, combinatorics, financial mathematics, optimisation of linear models, functions, differential calculus, integral calculus, elasticities, economic functions, and the Peren Theorem. Given its scope, the book offers an indispensable reference guide and is a must-read for undergraduate and graduate students, as well as managers, scholars, and lecturers in business, politics, and economics.

Название: Applying Power Series to Differential Equations: An Exploration through Questions and Projects
Автор: James Sochacki, Anthony Tongen
Издательство: Springer
Серия: Problem Books in Mathematics
Год: 2023
Страниц: 220
Язык: английский
Формат: pdf (true), epub
Размер: 24.8 MB

This book is aimed to undergraduate STEM majors and to researchers using ordinary differential equations. It covers a wide range of STEM-oriented differential equation problems that can be solved using computational power series methods. Many examples are illustrated with figures and each chapter ends with discovery/research questions most of which are accessible to undergraduate students, and almost all of which may be extended to graduate level research. Methodologies implemented may also be useful for researchers to solve their differential equations analytically or numerically. The textbook can be used as supplementary for undergraduate coursework, graduate research, and for independent study. This text assumes that students have taken an elementary ODE course covering the basics mentioned above. This text could be used as a supplemental text in the upper-level undergraduate course discussed above. The material is intended for exploration and insight for these students, their instructors and, also, for scientists and engineers who encounter ODE dynamical systems in their work. This text can be used by instructors who desire interesting examples for these courses that highlight common ODE topics and demonstrate the strong relationship between ODEs, polynomials and power series solutions to these ODEs.