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.

Название: Quantum Field Theory, as Simply as Possible
Автор: A. Zee
Издательство: Princeton University Press
Год: 2023
Страниц: 393
Язык: английский
Формат: pdf (true)
Размер: 31.2 MB

An exceptionally accessible introduction to quantum field theory. Quantum field theory is by far the most spectacularly successful theory in physics, but also one of the most mystifying. Quantum Field Theory, as Simply as Possible provides an essential primer on the subject, giving readers the conceptual foundations they need to wrap their heads around one of the most important yet baffling subjects in physics. Quantum field theory grew out of quantum mechanics in the late 1930s and was developed by a generation of brilliant young theorists, including Julian Schwinger and Richard Feynman. Their predictions were experimentally verified to an astounding accuracy unmatched by the rest of physics. Quantum field theory unifies quantum mechanics and special relativity, thus providing the framework for understanding the quantum mysteries of the subatomic world. With his trademark blend of wit and physical insight, A. Zee guides readers from the classical notion of the field to the modern frontiers of quantum field theory, covering a host of topics along the way, including antimatter, Feynman diagrams, virtual particles, the path integral, quantum chromodynamics, electroweak unification, grand unification, and quantum gravity.

Название: The Shortcut: Why Intelligent Machines Do Not Think Like Us
Автор: Nello Cristianini
Издательство: CRC Press
Год: 2023
Страниц: 187
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

An influential scientist in the field of Artificial Intelligence (AI) explains its fundamental concepts and how it is changing culture and society. A particular form of AI is now embedded in our tech, our infrastructure, and our lives. How did it get there? Where and why should we be concerned? And what should we do now? The Shortcut: Why Intelligent Machines Do Not Think Like Us provides an accessible yet probing exposure of Artificial Intelligence in its prevalent form today, proposing a new narrative to connect and make sense of events that have happened in the recent tumultuous past, and enabling us to think soberly about the road ahead. This book is divided into ten carefully crafted and easily digestible chapters. Each chapter grapples with an important question for AI.