Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts.

    Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more. Bibliography.

    At the pizzeria where he worked as a kid, he learned to substitute pork for veal in cutlets—which came in handy later when the bankroll was low. At thirteen, he got his first percentage from a local deli—that lost business when he started supplying the neighborhood wiseguys with his own heroes. And what great heroes they were… Once he entered Witness Protection, though, Hill found himself in places where prosciutto was impossible to get and gravy was something you put on mashed potatoes. So he learned to fake it when necessary (for example, Romano with white pepper took the place of real pecorino-siciliano cheese), and wherever he found himself, Hill managed to keep good Italian food on the table. He still brings this flair for improvisation to his cooking. No recipe is set in stone. And substitutions are listed in case you need them. Now, in his inimitable style, Hill tells some spicy stories of his life in the Mob and shows you how to whip up his favorite dishes, Sicilian style—even when you’re cooking on the run....

    It has an algebra and trigonometry prerequisite, but calculus is preferred.

    As he did so masterfully in Prime Obsession, Derbyshire brings the evolution of mathematical thinking to dramatic life by focusing on the key historical players. Unknown Quantity begins in the time of Abraham and Isaac and moves from Abel's proof to the higher levels of abstraction developed by Galois through modern-day advances. Derbyshire explains how a simple turn of thought from this plus this equals this to this plus what equals this? gave birth to a whole new way of perceiving the world. With a historian's narrative authority and a beloved teacher's clarity and passion, Derbyshire leads readers on an intellectually satisfying and pleasantly challenging historical and mathematical journey.

    He sifts through over 30,000 survey submissions to uncover the world’s favourite number, and meets a mathematician who looks for universes in his garage. He attends the World Mathematical Congress in India, and visits the engineer who designed the first roller-coaster loop. Get hooked on math as Alex delves deep into humankind’s turbulent relationship with numbers, and reveals how they have shaped the world we live in.

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    This well-respected text offers an accessible introduction to functional programming concepts and techniques for students of mathematics and computer science. The treatment is as nontechnical as possible, and it assumes no prior knowledge of mathematics or functional programming. Cogent examples illuminate the central ideas, and numerous exercises appear throughout the text, offering reinforcement of key concepts. All problems feature complete solutions.

    Topics include:• Archived Items • Battery Replacement • Calculator Functionality • Checking Your Email • Collections • Contacting Amazon's Kindle Customer Service • Converting PDF Documents to Kindle Format • Discussion Boards • Displaying the Time • Download Problems - What To Do • Formatting Issues in a Kindle Book - What To Do • Games on Your Kindle • Gifting a Kindle Book / Gift Certificates • Internet Access (it’s free) on Your Kindle • Internet Bookmarks• Kindle Reading to You (Text to Speech) • Lending Books• Losing Your Place While Reading • Lost Kindle Tip • Mobile Websites - Access Them on Your Kindle • Password Protection • Permanent Deletion of a Title • Pictures on Your Kindle • Playing Music on Your Kindle • Popular Highlights Feature - Turning it Off • Reset Your Kindle • Samples of Books • Screen Freeze Fix • Screenshots - Printing Out What You See • Social Networking with Facebook and Twitter • Transferring Books to Your Kindle • Transferring Existing Collections to Your New Kindle • Checking the Weather • Wireless Coverage for Your Kindle • Random Tips • Blogs Available on Your KindleMichael Gallagher is the author of several bestselling Kindle “how-to” guides, and his title “Free Kindle Books and How to Find Them” has been the #1 Kindle reference guide for over two years, garnering #53 and #72 on the Top 100 Kindle bestseller lists for all Kindle book titles in 2010 and 2011, respectively. His “Kindle Books and Tips” blog has been the #1 bestselling subscription blog in the Amazon Kindle Store since 2010. You can visit his author page on the Amazon website at http://www.amazon.com/author/gallagher

    Unfortunately, the subject has gained a notorious reputation for difficulty, with forbidding looking mathematics and a peculiar diagrammatic language described in an array of unforgiving, weighty textbooks aimed firmly at aspiring professionals. However, quantum field theory is too important, too beautiful, and too engaging to be restricted to the professionals. This book on quantum field theory is designed to be different. It is written by experimental physicists and aims to provide the interested amateur with a bridge from undergraduate physics to quantum field theory. The imagined reader is a gifted amateur, possessing a curious and adaptable mind, looking to be told an entertaining and intellectually stimulating story, but who will not feel patronised if a few mathematical niceties are spelled out in detail. Using numerous worked examples, diagrams, and careful physically motivated explanations, this book will smooth the path towards understanding the radically different and revolutionary view of the physical world that quantum field theory provides, and which all physicists should have the opportunity to experience.To request a copy of the Solutions Manual, visit http: //global.oup.com/uk/academic/physics/ad....

    Now in it's tenth edition, this text makes chemistry exciting to students by showing them why important concepts are relevant to their lives and future careers.

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    Albert-László Barabási, the nation’s foremost expert in the new science of networks and author of Bursts, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick and the Erdos–Rényi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the Barabási–Albert model.

    The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars, fine state machines, and syntax-directed translation.

    These singularities are places where space-time begins or ends, and the presently known laws of physics break down. They will occur inside black holes, and in the past are what might be construed as the beginning of the universe. To show how these predictions arise, the authors discuss the General Theory of Relativity in the large. Starting with a precise formulation of the theory and an account of the necessary background of differential geometry, the significance of space-time curvature is discussed and the global properties of a number of exact solutions of Einstein's field equations are examined. The theory of the causal structure of a general space-time is developed, and is used to study black holes and to prove a number of theorems establishing the inevitability of singualarities under certain conditions. A discussion of the Cauchy problem for General Relativity is also included in this 1973 book.