Aimed at electrical and computing engineerering and undergraduates in computer architecture. Third revised edition.

    Yet Euler's formula is so simple it can be explained to a child. Euler's Gem tells the illuminating story of this indispensable mathematical idea.From ancient Greek geometry to today's cutting-edge research, Euler's Gem celebrates the discovery of Euler's beloved polyhedron formula and its far-reaching impact on topology, the study of shapes. In 1750, Euler observed that any polyhedron composed of V vertices, E edges, and F faces satisfies the equation V-E+F=2. David Richeson tells how the Greeks missed the formula entirely; how Descartes almost discovered it but fell short; how nineteenth-century mathematicians widened the formula's scope in ways that Euler never envisioned by adapting it for use with doughnut shapes, smooth surfaces, and higher dimensional shapes; and how twentieth-century mathematicians discovered that every shape has its own Euler's formula. Using wonderful examples and numerous illustrations, Richeson presents the formula's many elegant and unexpected applications, such as showing why there is always some windless spot on earth, how to measure the acreage of a tree farm by counting trees, and how many crayons are needed to color any map.Filled with a who's who of brilliant mathematicians who questioned, refined, and contributed to a remarkable theorem's development, Euler's Gem will fascinate every mathematics enthusiast.

    The book s two-part coverage organizes topics under basic theory, and assembles an arsenal of approximation schemes with illustrative applications. For physicists and engineers. "

    Each chapter addresses de-facto standards, popular technologies, and design principles applicable to a wide variety of systems. Complete with chapter summaries, end-of-chapter exercises and bibliographies, Distributed Operating Systems concludes with a set of case studies that provide real-world insights into four distributed operating systems.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    Ecosystem: Structure and Function Biogeochemical Cycles, Aquatic Ecosystems: Freshwater Communities, Estuaries and Marine Communities Terrestrial Ecosystems Pollution Ecology and Human Welfare Wild Life Management Biogeography, Adaptations Indices

    In this course, The Great Courses partners with the Smithsonian - one of the world's most storied and exceptional educational institutions - to examine the extraordinary events of this period and uncover the far-reaching impact of this incredible revolution. Over the course of 36 thought-provoking lectures, longtime Great Courses favorite Professor Allitt introduces you to the inventors, businessmen, and workers responsible for transforming virtually every aspect of our lives and fueling one of the greatest periods of innovation in human history. The technological achievements of this era are nothing short of astonishing. Thanks to inventions such as the steam engine and processes such as large-scale iron smelting, industrial entrepreneurs were able to mechanize labor, which allowed for a host of new efficiencies such as division of labor, mass production, and global distribution. You'll discover the science behind some of the most astounding inventions in modern history, including the spinning jenny, the incandescent light bulb, and the computer processor. You'll learn how these inventions came about and consider what effects these technologies had on every aspect of human life. Get an inside look at the history of industrial innovation and explore the lives of engineers, inventors, architects, and designers responsible for changing the world - as well as ordinary workers who lost their livelihoods to new technologies and suffered from unsafe working conditions. The story of the Industrial Revolution is complex, and these lectures will leave you with a new appreciation for the amazing human achievements all around us.

    

    It also provides a straightforward but comprehensive treatment of VLSI design processes and design rules for students and all novice digital systems designers.

    Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read. Tim Roughgarden Stanford University

    Das' Sixth Edition of PRINCIPLES OF FOUNDATION ENGINEERING maintains the careful balance of current research and practical field applications that has made it the leading text in foundation engineering courses. Featuring a wealth of worked-out examples and figures that help students with theory and problem-solving skills, the book introduces civil engineering students to the fundamental concepts and application of foundation analysis design. Throughout, Das emphasizes the judgment needed to properly apply the theories and analysis to the evaluation of soils and foundation design as well as the need for field experience. The sixth edition contains many new homework and worked-out problems.

    Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

    This best-selling text offers a concise yet thorough presentation of engineering mechanics theory and application. The material is reinforced with numerous examples to illustrate principles and imaginative, well-illustrated problems of varying degrees of difficulty. The text is committed to developing students' problem-solving skills and includes pedagogical features that have made Hibbeler synonymous with excellence in the field. Engineering Mechanics features Photorealistic figures and over 400 key figures have been rendered in often 3D photo quality detail to appeal to visual learners. An improved accompanying Student Study Pack provides chapter-by-chapter study materials as well as a tutorial on free body diagrams. Engineering Mechanics features a complete OneKey course with editable homework, solutions, animations, Active Book, and PHGA. Visit www.prenhall.com/hibbelerinfo to learn more.

    Not only does this Bible give you a quick refresher on the structure of open-source Linux software, it also shows you how to bypass the hefty graphical user interface on Linux systems and start interacting the fast and efficient way?with command lines and automated scripts. You'll learn how to manage files on the filesystem, start and stop programs, use databases, even do Web programming?without a GUI?with this one-stop resource.

    It shouldn't be like that. Learning calculus without mechanics is incredibly boring. Learning mechanics without calculus is missing the point. This textbook integrates both subjects and highlights the profound connections between them.This is the deal. Give me 350 pages of your attention, and I'll teach you everything you need to know about functions, limits, derivatives, integrals, vectors, forces, and accelerations. This book is the only math book you'll need for the first semester of undergraduate studies in science.With concise, jargon-free lessons on topics in math and physics, each section covers one concept at the level required for a first-year university course. Anyone can pick up this book and become proficient in calculus and mechanics, regardless of their mathematical background.Visit http://minireference.com for more details.