Best Mathematical Physics

The Elegant Universe makes some of the most sophisticated concepts ever contemplated accessible and thoroughly entertaining, bringing us closer than ever to understanding how the universe works. “Sets a standard that will be hard to beat.”. - George Johnson, The New York Times Book Review. “Compulsively readable.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. “Written by four experts of the field, this book offers an excellent entry to statistical learning to a broad audience, including those without strong background in mathematics. … the book also demonstrates how to apply these methods using various R packages by providing detailed worked examples using interesting real data applications.” (Klaus Nordhausen, International Statistical Review, Vol. “The book is structured in ten chapters covering tools for modeling and mining of complex real life data sets. … The style is suitable for undergraduates and researchers … and the understanding of concepts is facilitated by the exercises, both practical and theoretical, which accompany every chapter.” (Irina Ioana Mohorianu, zbMATH, Vol. "The book excels in providing the theoretical and mathematical basis for machine learning, and now at long last, a practical view with the inclusion of R programming examples.

Brian Greene, one of the world's leading string theorists, peels away the layers of mystery surrounding string theory to reveal a universe that consists of eleven dimensions, where the fabric of space tears and repairs itself, and all matter—from the smallest quarks to the most gargantuan supernovas—is generated by the vibrations of microscopically tiny loops of energy. Yet the theories collide horribly under extreme conditions such as black holes or times close to the big bang. Brian Greene, professor of physics and mathematics at Cornell and Columbia universities, makes the terribly complex theory of strings accessible to all. Just when we might be tempted to dismiss strings as grist for the publish-or-perish mill, Greene explains how they have demonstrated connections between mathematics and physics that have helped solve age-old conundrums in each field. This book will appeal to astronomy as well as math and physics fans because it probes the important insights string theory gives into hotly debated issues in cosmology. Later chapters require careful attention to Greene's explications, but the effort will prepare readers to follow the scientific advances likely to be made in the next millennium through application of string theory.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. … ISL contains 12 very valuable R labs that show how to use many of the statistical learning methods with the R package ISLR … .” (David Olive, Technometrics, Vol. “Written by four experts of the field, this book offers an excellent entry to statistical learning to a broad audience, including those without strong background in mathematics. … the book also demonstrates how to apply these methods using various R packages by providing detailed worked examples using interesting real data applications.” (Klaus Nordhausen, International Statistical Review, Vol. “The book is structured in ten chapters covering tools for modeling and mining of complex real life data sets. … The style is suitable for undergraduates and researchers … and the understanding of concepts is facilitated by the exercises, both practical and theoretical, which accompany every chapter.” (Irina Ioana Mohorianu, zbMATH, Vol. "The book excels in providing the theoretical and mathematical basis for machine learning, and now at long last, a practical view with the inclusion of R programming examples.

Timeless and collectible, the lectures are essential reading, not just for students of physics but for anyone seeking an introduction to the field from the inimitable Feynman. Richard P. Feynman was Richard Chace Tolman Professor of Theoretical Physics at the California Institute of Technology.

One of Wall Street Journal 's. Best Ten Works of Nonfiction in 2012 New York Times Bestseller “Not so different in spirit from the way public intellectuals like John Kenneth Galbraith once shaped discussions of economic policy and public figures like Walter Cronkite helped sway opinion on the Vietnam War…could turn out to be one of the more momentous books of the decade .”. — New York Times Book Review "Nate Silver's The Signal and the Noise is The Soul of a New Machine for the 21st century ." Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read. Baseball, weather forecasting, earthquake prediction, economics, and polling: In all of these areas, Silver finds predictions gone bad thanks to biases, vested interests, and overconfidence.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. “Written by four experts of the field, this book offers an excellent entry to statistical learning to a broad audience, including those without strong background in mathematics. … the book also demonstrates how to apply these methods using various R packages by providing detailed worked examples using interesting real data applications.” (Klaus Nordhausen, International Statistical Review, Vol. “The book is structured in ten chapters covering tools for modeling and mining of complex real life data sets. … The style is suitable for undergraduates and researchers … and the understanding of concepts is facilitated by the exercises, both practical and theoretical, which accompany every chapter.” (Irina Ioana Mohorianu, zbMATH, Vol. "The book excels in providing the theoretical and mathematical basis for machine learning, and now at long last, a practical view with the inclusion of R programming examples.

Choose the proper tools and set up your workbench Ensure personal safety and use proper eye and ear protection Understand how electrical components work and why they fail Perform preliminary diagnoses based on symptoms Use test equipment, including digital multimeters, ESR meters, frequency counters, and oscilloscopes Interpret block, schematic, and pictorial diagrams Disassemble products and identify sections Analyze circuits, locate faults, and replace dead parts Re-establish connections and reassemble devices. His involvement in ham radio led to his writing career, first with articles for ham radio magazines, and then with general technology features in Electronic Engineering Times, Desktop Engineering, IEEE Spectrum, and The Envisioneering Newsletter. Along with building and repairing electronic circuitry, he enjoys table tennis, restoring antique mopeds, ice skating, bicycling, and banging out a jazz tune on his harpsichord.

Chemistry is presented visually through multi-level images–macroscopic, molecular, and symbolic representations–helping students see the connections between the world they see around them (macroscopic), the atoms and molecules that compose the world (molecular), and the formulas they write down on paper (symbolic). Nivaldo Tro is Professor of Chemistry at Westmont College in Santa Barbara, California, where he has been a faculty member since 1990.

A landmark volume in science writing by one of the great minds of our time, Stephen Hawking’s book explores such profound questions as: How did the universe begin—and what made its start possible? We journey into Hawking’s universe while marvelling at his mind.”— The Sunday Times (London). “Masterful.”— The Wall Street Journal “Charming and lucid . Mr. Hawking clearly possesses a natural teacher’s gifts—easy, good-natured humor and an ability to illustrate highly complex propositions with analogies plucked from daily life.”— The New York Times “Even as he sits helpless in his wheelchair, his mind seems to soar ever more brilliantly across the vastness of space and time to unlock the secrets of the universe.”— Time.

Ranging from the basic principles of Newtonian physics through such formidable theories as general relativity and quantum mechanics, Feynman's lectures stand as a monument of clear exposition and deep insight. The late Richard P. Feynman was Richard Chace Tolman Professor of Theoretical Physics at the California Institute of Technology.

This first-year, graduate-level text and reference book covers the fundamental concepts and twenty-first-century applications of six major areas of classical physics that every masters- or PhD-level physicist should be exposed to, but often isn't: statistical physics, optics (waves of all sorts), elastodynamics, fluid mechanics, plasma physics, and special and general relativity and cosmology. "Remarkable for its scope and authority, this text offers a new vision of the 'theoretical minimum' of classical physics that all physicists should know, a vision that I hope will revitalize the curricula of many physics departments. "Comprehensive, concise, and coherent, this is a marvelous summary of the essence of classical physics, somewhat reminiscent of the classic texts of Landau and Lifshitz, and an essential part of any physicist's toolkit. Classical physics is not 'old' physics; it contains many of the most interesting challenges to our understanding of nature and it stands (as in this book) in consistent juxtaposition with quantum physics.

Using concrete observations and experiences you can relate to, the text features an approach that reflects how science is actually practiced: it starts with the specifics, then moves to the great generalizations and the more formal aspects of a topic to show you why we believe what we believe. Douglas C. Giancoli obtained his BA in physics (summa cum laude) from UC Berkeley, his MS in physics at MIT, and his PhD in elementary particle physics back at the UC Berkeley.

Full-color photos on flash cards present close-ups of a model demonstrating 500 American Sign Language (ASL) signs. Geoffrey S. Poor is Professor of ASL at the National Technical Institute for the Deaf, Rochester Institute of Technology, Rochester, NY.

The immense interest in wireless communications and the expected increase in wireless communications systems projects (antenna, microwave and wireless communication) points to an increase in the number of engineers needed to specialize in this field.

**From the author of the phenomenal million copy bestseller Sapiens **. **The Sunday Times # 1 bestseller**. While Sapiens looked back at our evolutionary development, this new book examines where we might be headed ( Homo Deus is subtitled “A Brief History of Tomorrow”). His innovative new book blends science, history and philosophy to explore the future of humanity in the face of artificial intelligence and examine whether our species will be rendered completely redundant.” – Cambridge Network “Spellbinding. “ It’s a chilling prospect, but the AI we’ve created could transform human nature, argues this spellbinding new book by the author of Sapiens .” – The Guardian. “Nominally a historian, Harari is in fact an intellectual magpie who has plucked theories and data from many disciplines — including philosophy, theology, computer science and biology — to produce a brilliantly original, thought-provoking and important study of where mankind is heading.” – Evening Standard. He’s opened a portal for us to contemplate on what kind of relationships we are forming with our data-crunching machines and whether ‘right’ must be determined by empirical evidence or good old ‘gut instinct.’” – The Hindu “[Harari’s] propositions are well-developed, drawing upon a combination of science, philosophy and history. While the book offers a rather pessimistic and even nihilistic view of man’s future, it is written with wit and style and makes compelling reading.” – iNews.

In Thing Explainer: Complicated Stuff in Simple Words, things are explained in the style of Up Goer Five, using only drawings and a vocabulary of the 1,000 (or "ten hundred") most common words.

Dr Isaac Asimov, famed science fiction writer and science popularizer, presents an introduction to the complexities of modern physics.

The book teaches students to: Grasp the laws of physics in flat and curved spacetime Predict orders of magnitude Calculate using the principal tools of modern geometry Understand Einstein's geometric framework for physics Explore applications, including neutron stars, Schwarzschild and Kerr black holes, gravitational collapse, gravitational waves, cosmology, and so much more. " Gravitation has been a very influential book in the field, and it gives a remarkably thorough treatment of what's relevant in general relativity today."

From the celebrated author of the best-selling Physics for Future Presidents comes “a provocative, strongly argued book on the fundamental nature of time” (Lee Smolin). Some physicists have given up trying to understand, and call the flow of time an illusion, but the eminent experimentalist physicist Richard A. Muller protests. With his usual clarity and wit, he proceeds from solidly established principles―each a fascinating story in its own right―but when he gets to the meaning of the flow of time and now, he forges a new path. Richard Muller thinks it can, making his case in this clear, evocative, and wide-reaching investigation of how nature may generate the flow of time. “The strength of this book lies in Muller’s experience as a lecturer and teacher, which has enabled him to describe and explain difficult concepts with simplicity.… [ Now ] provides a concise master class in understanding the essentials of physics.”. - Science.

• How composers produce some of the most pleasurable effects of listening to music by exploiting the way our brains make sense of the world. • Why we are so emotionally attached to the music we listened to as teenagers, whether it was Fleetwood Mac, U2, or Dr. Dre. • That practice, rather than talent, is the driving force behind musical expertise. • How those insidious little jingles (called earworms) get stuck in our head. In this textbook for those who don't like textbooks, he discusses neurobiology, neuropsychology, cognitive psychology, empirical philosophy, Gestalt psychology, memory theory, categorization theory, neurochemistry, and exemplar theory in relation to music theory and history in a manner that will draw in teens.

Do time and space exist? And what exactly is reality? It's a pleasure to read, full of wonderful analogies and imagery and, last but not least, a celebration of the human spirit.” —NPR Cosmos & Culture “If your desire to be awestruck by the universe we inhabit needs refreshing, theoretical physicist Carlo Rovelli…is up to the task.” — Elle. “With its warm, enthusiastic language and tone, [ Seven Brief Lessons on Physics ] is also deeply humanistic in approach, using words like elegant and beauty about a subject…that can seem impenetrably dense and abstract… Reality Is Not What It Seems takes much the same approach.” — New York Magazine. “Rovelli’s lyrical language, clarity of thought, and passion for science and its history make the title a pleasure to read (albeit slowly), and his diagrams and footnotes will allow readers to understand the material better and tackle a more expert level of insight.” —Booklist. “Science buffs will admire Rovelli's lucid writing…Cutting-edge theoretical physics for a popular audience that obeys the rules (little math, plenty of drawings), but it's not for the faint of heart.”— Kirkus Reviews.

In the years following her role as the lead author of the international bestseller, Limits to Growth ―the first book to show the consequences of unchecked growth on a finite planet― Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Just before her death, scientist, farmer and leading environmentalist Meadows (1941-2001) completed an updated, 30th anniversary edition of her influential 1972 environmental call to action, Limits to Growth , as well as a draft of this book, in which she explains the methodology-systems analysis-she used in her ground-breaking work, and how it can be implemented for large-scale and individual problem solving. An invaluable companion piece to Limits to Growth , this is also a useful standalone overview of systems-based problem solving, "a simple book about a complex world" graced by the wisdom of a profound thinker committed to "shaping a better future. "Dana Meadows' exposition in this book exhibits a degree of clarity and simplicity that can only be attained by one who profoundly and honestly understands the subject at hand--in this case systems modeling. This is modestly called a primer, and indeed it is, but unlike most books with that title, this one quickly takes one from the elementary into deep systems thinking about issues as critical today as they were when Dana wrote these words. As the book moves from the 'mechanics' of systems dynamics to Dana's more philosophical perspective, we are treated to her inherent belief in human values that consider the good of all, and how much more effective considering the needs of others is likely to be in solving larger, complex problems. The universe and our society may be very complex and operate in counterintuitive, non-liner fashion, but following the insights of this book and applying them will provide for far more effective solutions to the challenges of a 7 billion person planet than current incremental, linear responses by governments, corporations and individuals." For her systems thinking included the expected things like recognizing patterns, connections, leverage points, feedback loops and also the human qualities of judgment, foresight, and kindness. To live sustainably on our planet, we must learn to understand human-environment interactions as complex systems marked by the impact of human actions, the prominence of nonlinear change, the importance of initial conditions, and the significance of emergent properties. "An inspiring sequel to Dana Meadows' lifetime of seminal contributions to systems thinking, this highly accessible book should be read by everyone concerned with the world's future and how we can make it as good as it possibly can be."

With the born storyteller's command of narrative and imaginative approach, Leonard Mlodinow vividly demonstrates how our lives are profoundly informed by chance and randomness and how everything from wine ratings and corporate success to school grades and political polls are less reliable than we believe. Mlodinow, a visiting lecturer at Caltech and coauthor with Stephen Hawking of A Briefer History of Time, leads readers on a walk through the hills and valleys of randomness and how it directs our lives more than we realize.

Timeless and collectible, the lectures are essential reading, not just for students of physics but for anyone seeking an introduction to the field from the inimitable Feynman. Richard P. Feynman was Richard Chace Tolman Professor of Theoretical Physics at the California Institute of Technology.