Название: Encryption and Decryption Algorithms for Plain Text and Images using Fractional Calculus
Автор: Rafael Martínez-Guerra, Juan Javier Montesinos-García, Juan Pablo Flores-Flores
Издательство: Springer
Год: 2023
Страниц: 252
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book offers an alternative for encrypting and decrypting messages using objects called integer and fractional-order estimators or observers, by means of security codes. The authors first establish the class of observers capable of carrying out this work. Then, the type of observers to treat either the integer or fractional order type and their main characteristics is mentioned. The book also presents an essential property of some systems such as Liouville, which is vital for the encryption and decryption of messages in integer and fractional order nonlinear systems by using the synchronization property of chaotic systems. Finally, it addresses some logistic maps such as Mandelbrot sets including Julia and fractal sets, taking advantage of their characteristics to encrypt or recover messages. Of all the alternatives for encryption and decryption of messages shown here, a vulnerability analysis to cryptographic attacks (cryptoanalysis) is made, this is a security analysis, an important topic on the subject of secure communications.

Автор: Перышкин А. В.
Название: Физика. Для 7 класса общеобразовательных учреждений. Издание 12
Издательство: М:, Дрофа
Год: 2008
Страниц: 192
Формат: DJVU, PDF
Размер: 89 МБ
Настоящая книга является дополненным вариантом учебника А. В. Перышкина «Физика. 7 кл.». В нем сохранены структура и методология изложения материала. В соответствии с требованиями государственного стандарта общего образования внесены изменения в отдельные параграфы учебника. Достоинством книги являются ясность, краткость и доступность изложения. Все главы учебника содержат богатый иллюстративный материал.

Название: Astronomy in Minutes: 200 Key Concepts Explained in an Instant
Автор: Giles Sparrow
Издательство: Greenfinch
Год: 2015
Формат: EPUB
Размер: 23 Мб
Язык: английский / English

What happens when a star dies? How many asteroids are in our solar system? Can galaxies collide? What is dark energy? Astronomy in Minutes answers all these questions and more as it condenses 200 key concepts into easily digestible essays. From Trojan asteroids to stellar black holes, and from superclusters to cosmic microwave background, this book will take you on an essential tour around the universe. Beginning with the specks and constellations that we see in the night sky, and then zooming in on the objects and 'matter' beyond the naked eye, Astronomy in Minutes draws on established theories and recent research. Each essay is accompanied by an image or a clear diagram to help unravel complex ideas. Beginning with the constellations and finishing with the latest cosmological theories, this is the perfect reference guide to this fascinating subject.

Название: The Energy of Data and Distance Correlation
Автор: Gabor J. Szekely, Maria L. Rizzo
Издательство: CRC Press
Серия: Monographs on Statistics and Applied Probability
Год: 2023
Страниц: 467
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Energy distance is a statistical distance between the distributions of random vectors, which characterizes equality of distributions. The name energy derives from Newton's gravitational potential energy, and there is an elegant relation to the notion of potential energy between statistical observations. Energy statistics are functions of distances between statistical observations in metric spaces. The authors hope this book will spark the interest of most statisticians who so far have not explored E-statistics and would like to apply these new methods using R. The Energy of Data and Distance Correlation is intended for teachers and students looking for dedicated material on energy statistics, but can serve as a supplement to a wide range of courses and areas, such as Monte Carlo methods, U-statistics or V-statistics, measures of multivariate dependence, goodness-of-fit tests, nonparametric methods and distance based methods.

Название: Essential Practical NMR for Organic Chemistry, 2nd Edition.
Автор:Richards S.A., Hollerton J.C.
Издательство: John Wiley & Sons Ltd
Год:2023
Формат: PDF
Страниц: 288
Размер: 15,2 МБ
Язык: English

The second edition of Essential Practical NMR for Organic Chemistry delivers a pragmatic and accessible text demonstrating an ordered approach to gathering and interpreting NMR data. In this informal guide, you’ll learn to make sense of the high density of NMR information through the authors’ problem-solving strategies and interpretations.

Автор: Л.С.Атанасян
Название: Аналитическая геометрия на плоскости. Аналитическая геометрия в пространстве
Издательство: М:, Просвещение
Год: 1967 и 1970
Страниц: 300 и 369
Формат: PDF
Размер: 43 МБ
Курс аналитической геометрии, читаемый на физико-математических факультетах педагогических институтов, играет весьма важную роль в формировании учителя математики и физики. Этот курс» наряду с курсом математического анализа, вооружает учителя математики аппаратом математического исследования.

Название: Страна математических чудес
Автор: Акияма Д, Руис М.
Издательство: МЦНМО
Год: 2014
Страниц: 240
Формат: pdf
Размер: 27 мб

Страна математических чудес, по которой путешествуют дети — герои этой книжки, существует и в действительности: так называется музей интерактивных математических моделей на японском острове Хоккайдо. Он был создан Джином Акиямой в 2003 году. Занимательные модели, описанные в книге (многие из них автор демонстрировал и в Японии, и за её пределами), призваны помочь детям открыть для себя удивительные закономерности и осознать всевозможные математические чудеса.

Автор: Филиппов Алексей Федорович
Название: Введение в теорию дифференциальных уравнений: Учебник.
Издательство: М:, М.: ЛЕНАНД
Год: 2014
Страниц: 240
Формат: DJVU, PDF
Размер: 11 МБ
Книга содержит весь учебный материал в соответствии с программой курса дифференциальных уравнений для механико-математических и физико-математических специальностей университетов. Имеется также небольшое количество дополнительного материала, связанного с техническими приложениями. Это позволяет выбирать материал для лекций в зависимости от профиля вуза...

Название: Visualizing Mathematics: The Role of Spatial Reasoning in Mathematical Thought
Автор: Kelly S. S. Mix, Michael T. Battista
Издательство: Springer
Год: 2018
Формат: EPUB
Размер: 22 Мб
Язык: английский / English

This unique volume surveys recent research on spatial visualization in mathematics in the fields of cognitive psychology and mathematics education. The general topic of spatial skill and mathematics has a long research tradition, but has been gaining attention in recent years, although much of this research happens in disconnected subfields. This volume aims to promote interaction between researchers, not only to provide a more comprehensive view of spatial visualization and mathematics, but also to stimulate innovative new directions in research based on a more coordinated effort. It features ten chapters authored by leading researchers in cognitive psychology and mathematics education, as well as includes dynamic commentaries by mathematics education researchers on cognitive psychology chapters, and by cognitive psychologists on mathematics education chapters.

Название: Data Science In The Library: Tools and Strategies for Supporting Data-Driven Research and Instruction
Автор: Joel Herndon
Издательство: Facet Publishing
Год: 2022
Страниц: 224
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

The last two decades represent an unprecedented period in the history of data analysis. As the cost of technology has steadily decreased, access to sophisticated data tools has increased, expanding the audience for data-informed research and decision making. At the same time, new areas of research and research methodologies are now possible with the rapid growth of online data produced as a byproduct of digital commerce, file sharing and social media. Together, this confluence of inexpensive computing, plentiful data and accessible tools has created a new interdisciplinary area of research that harnesses the traditional disciplinary expertise of statisticians and computer scientists to explore a wide range of data-related questions. As more researchers and companies embrace data-driven approaches, the phrase ‘Data Science’ has become an increasingly popular term to describe this growing area of research. In its current form, the term ‘Data Science’ is easier to define by its application than by theory. It is widely understood to include a diverse range of computational, data-driven approaches to research and business analytics. In academia, this interdisciplinary space comprises a broad range of methodologies, including Machine Learning, social media analysis, spatial analytics, text analysis and web analytics to name a few.