It is highly recommended for anyone planning to study advanced analysis, e.g., complex variables, differential equations, Fourier analysis, numerical analysis, several variable calculus, and statistics. It is also recommended for future secondary school teachers. A limited number of concepts involving the real line and functions on the real line are studied. Many abstract ideas, such as metric spaces and ordered systems, are avoided. The least upper bound property is taken as an axiom and the order properties of the real line are exploited throughout. A thorough treatment of sequences of numbers is used as a basis for studying standard calculus topics. Optional sections invite students to study such topics as metric spaces and Riemann-Stieltjes integrals.

    and a former U.S. intelligence official) presents an academic introduction to the history and current role of intelligence agencies in the foreign policy of the United States. He surveys the growth of the intelligence agencies, examines their place in the general structure of government, reviews policy debates about the scope and nature of intelligence activities, and discusses intelligence reforms. Annotation c. Book News, Inc., Portland, OR

    Emphasis is placed on the standardized and systematic process for initial assessment. It is the intent of the TNCC to enhance the nurse's ability to rapidly and accurately assess the patient's responses to the trauma event and to work within the context of a trauma team. It is anticipated that the knowledge and skills learned in the TNCC will ultimately contribute to a decrease in the morbidity and mortality associated with trauma. This Revised Printing of the new Sixth Edition of the TNCC's Provider Manual had been updated by members of the TNCC Revision Workgroup and trauma nursing experts in both the United States and internationally.

     In less than three weeks, Hitler achieved the most extraordinary military triumph of modern times: Holland, Luxembourg, and Belgium had been overrun; the French army was about to collapse; and the entire British Expeditionary Force, which had been sent across the Channel to help stop the Germans, was trapped against the sea at Dunkirk. Unless they could be rescued, Britain would be left without an army. ‘Dunkirk’ is the first book to present an overview of those awful days and show the effect the battle on the beaches was having on the rest of the world. It is also the day-by-day story of a great escape, of the transformation of a massive defeat into what would ultimately prove a disaster for Germany. “Norman Gelb demonstrates in Dunkirk how productive it is to focus on an individual operation or battle … Dunkirk is both a good adventure read and an instructive case study yielding modern lessons.” — JOHN LEHMAN, Former Secretary of the Navy, The Wall Street Journal “Norman Gelb finds fresh angles … Dunkirk stands as an exemplar of the perils of vacillation and the possibilities of action.” — The New York Times Book Review “Mr. Gelb has excavated beneath surface events, delved into political and psychological factors, and produced an intelligent, fast-moving narrative.” — PROFESSOR ARNOLD AGES, Baltimore Sun — “Vivid and comprehensive … Absorbing … Sets a high standard for other reconstructions” — Kirkus Reviews NORMAN GELB was born in New York and is the author of seven highly acclaimed books, including The Berlin Wall, Scramble: A Narrative History of the Battle of Britain, and Less Than Glory. He was, for many years, correspondent for the Mutual Broadcasting System, first in Berlin and then in London. He is currently the London correspondent for New Leader magazine. Endeavour Press is the UK's leading independent digital publisher. For more information on our titles please sign up to our newsletter at www.endeavourpress.com. Each week you will receive updates on free and discounted ebooks. Follow us on Twitter: @EndeavourPress and on Facebook via http://on.fb.me/1HweQV7. We are always interested in hearing from our readers. Endeavour Press believes that the future is now.

    He worked with - and relaxed with - scientific giants of that time such as Edward Teller, Enrico Fermi, Stan Ulam, John von Neumann, and John Wheeler, and here offers illuminating insights into the personalities, the strengths, and the quirks of these men. Well known for his ability to explain physics to nonspecialists, Ford also brings to life the physics of fission and fusion and provides a brief history of nuclear science from the discovery of radioactivity in 1896 to the ten-megaton explosion of “Mike” that obliterated a Pacific Island in 1952. Ford worked at both Los Alamos and Princeton's Project Matterhorn, and brings out Matterhorn's major, but previously unheralded contribution to the development of the H bomb. Outside the lab, he drove a battered Chevrolet around New Mexico, a bantam motorcycle across the country, and a British roadster around New Jersey. Part of the charm of Ford's book is the way in which he leavens his well-researched descriptions of the scientific work with brief tales of his life away from weapons.Contents: The Big Idea The Protagonists The Choice The Scientists, the Officials, and the President Nuclear Energy Some Physics Going West A New World The Classical Super Calculating and Testing Constructing Matterhorn Academia Cowers New Mexico, New York, and New Jersey The Garwin Design Climbing Matterhorn It's More Than a Boy Readership: A memoir for general readership in the history of science.Key Features: It contains real physics, clearly presented for non-specialists Combining historical scholarship and his own recollections, the author offers important insights into the people and the work that led to the first H bomb Personal anecdotes enliven the book

    It provides explanations of biological, psychological and social factors in health issues, reinforced with case studies.

    Weaving together the cosmos' history and our own in an expanding intellectual adventure story, Dark Matter and the Dinosaurs takes us from the mysteries of dark matter and our cosmic environment to the conditions for life on Earth.Sixty-six million years ago, an object the size of a city descended from space to crash into Earth, creating a cataclysm that killed off the dinosaurs, along with three-quarters of the other species on the planet. What was its origin? Randall proposes it was a comet that was dislodged from its orbit as the Solar System passed through a disk of dark matter that is embedded in the plane of the Milky Way. Her research challenges the usual assumptions about the simple nature of dark matter and demonstrates how scientists formulate and establish new ideas. In a sense, it might have been dark matter that killed the dinosaurs.With her unique and wide-ranging perspective, Randall connects dark matter to the history of the world in the broadest terms. Bringing in pop culture and social and political viewpoints, she shares with us the latest findings—established and speculative—regarding dark matter, the cosmos, the galaxy, asteroids, comets, and impacts, as well as life's development and extinctions. Randall makes clear how connected the planet is to the makeup of the Universe, but also how fragile our place in the Universe, which evolved over billions of years, might be.In this brilliant and fresh exploration of our cosmic environment, Professor Randall explains the underlying science of our world in the breathtaking tale of a Universe in which the small and the large, the visible and the hidden are intimately related. Dark Matter and the Dinosaurs illuminates the deep relationships that are critical to our world as well as the astonishing beauty of the structures and connections that surround us. It's impossible to read this book and look at either Earth or sky again in the same way.

    For his classes he developed a manner of presentation in which 'every technical matter is discussed in a very fundamental way, so that at the same time it is both simple and thorough'.This book can be used for analysis as well as for composition. On the one hand, it has the practical objective of introducing students to the process of composing in a systematic way, from the smallest to the largest forms; on the other hand, the author analyses in thorough detail and with numerous illustrations those particular sections in the works of the masters which relate to the compositional problem under discussion.

    These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.

    Here for the first time he reveals the contents of those documents, and makes clear their shocking relevance for today.The Doomsday Machine is Ellsberg’s hair-raising insider’s account of the most dangerous arms buildup in the history of civilization, whose legacy—and proposed renewal under the Trump administration—threatens the very survival of humanity. It is scarcely possible to estimate the true dangers of our present nuclear policies without penetrating the secret realities of the nuclear strategy of the late Eisenhower and early Kennedy years, when Ellsberg had high-level access to them. No other insider has written so candidly of that long-classified history, though the policies remain fundamentally, and frighteningly, unchanged Ellsberg, in the end, offers steps we can take under the current administration to avoid nuclear catastrophe. Framed as a memoir, this gripping exposé reads like a thriller with cloak-and-dagger intrigue, placing Ellsberg back in his natural role as whistle-blower. It is a real-life Dr. Strangelove story, but an ultimately hopeful—and powerfully important—book.

    “So funny that I could not put it down” (Los Angeles Times).

    Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age.How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more.An essential introduction to the new technologies of digital currencyCovers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much moreFeatures an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slidesAlso suitable for use with the authors' Coursera online courseElectronic solutions manual (available only to professors)

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    A Key Strength Of This Text Is Zill'S Emphasis On Differential Equations As Mathematical Models, Discussing The Constructs And Pitfalls Of Each. The Third Edition Is Comprehensive, Yet Flexible, To Meet The Unique Needs Of Various Course Offerings Ranging From Ordinary Differential Equations To Vector Calculus. Numerous New Projects Contributed By Esteemed Mathematicians Have Been Added. Key Features O The Entire Text Has Been Modernized To Prepare Engineers And Scientists With The Mathematical Skills Required To Meet Current Technological Challenges. O The New Larger Trim Size And 2-Color Design Make The Text A Pleasure To Read And Learn From. O Numerous NEW Engineering And Science Projects Contributed By Top Mathematicians Have Been Added, And Are Tied To Key Mathematical Topics In The Text. O Divided Into Five Major Parts, The Text'S Flexibility Allows Instructors To Customize The Text To Fit Their Needs. The First Eight Chapters Are Ideal For A Complete Short Course In Ordinary Differential Equations. O The Gram-Schmidt Orthogonalization Process Has Been Added In Chapter 7 And Is Used In Subsequent Chapters. O All Figures Now Have Explanatory Captions. Supplements O Complete Instructor'S Solutions: Includes All Solutions To The Exercises Found In The Text. Powerpoint Lecture Slides And Additional Instructor'S Resources Are Available Online. O Student Solutions To Accompany Advanced Engineering Mathematics, Third Edition: This Student Supplement Contains The Answers To Every Third Problem In The Textbook, Allowing Students To Assess Their Progress And Review Key Ideas And Concepts Discussed Throughout The Text. ISBN: 0-7637-4095-0