In Pricing the Future, financial economist George G. Szpiro tells the fascinating stories of the pioneers of mathematical finance who conducted the search for the elusive options pricing formula. From the broker’s assistant who published the first mathematical explanation of financial markets to Albert Einstein and other scientists who looked for a way to explain the movement of atoms and molecules, Pricing the Future retraces the historical and intellectual developments that ultimately led to the widespread use of mathematical models to drive investment strategies on Wall Street.

    Enhancements to this edition include a more thorough coverage of transport processes, plus new or expanded coverage of separation process applications, fluidized beds, non-Newtonian fluids, membrane separation processes and gas-membrane theory, and much more. The book contains 240+ example problems and 550+ homework problems.

    Parents will be inspired to break free of conventions, unleash their child's unique creative genius, cultivate determination, and create an authentic atmosphere of learning.

    New languages, new frameworks, new ways of doing things - a constant struggle just to stay current in the industry. This left no time to learn the foundational concepts and skills that come with a degree in Computer Science.

    In order to ensure a high level of knowledge and training, the International Requirements Engineering Board (IREB) worked out the training concept “Certified Professional for Requirements Engineering”, which defines a requirements engineer’s practical skills on different training levels. The book covers the different subjects of the curriculum for the “Certified Professional for Requirements Engineering” (CPRE) defined by the International Requirements Engineering Board (IREB). It supports its readers in preparing for the test to achieve the “Foundation Level” of the CPRE.

    What are the boundaries of our universe? Could there be other worlds - do we actually live in a multiverse? Will we meet another 'us' in a different reality? Or are alternative worlds parallel but separate? John Gribbin guides us through the different theories about multiverses, along the way explaining the every latest thinking about gravity, about time and multiple dimensions, about quantum theory, about matter itself - and even the mind-bending possibility that one day we may be creating universes ourselves. John Gribbin is the best guide to the big questions of science. And there is no bigger question than our search for the multiverse. 'The master of popular science writing'  Sunday Times 'In this universe at least, it's brilliant'  BBC Focus 'Numerous books on the subject have appeared in the past few years, but Gribbin's stands out for succinctness and readability. Long renowned as one of Britain's finest popular science writers, Gribbin combines expert knowledge with straightforward, no-frills exposition'  Scotland on Sunday John Gribbin is one of today's greatest writers of popular science and the author of bestselling books, including In Search of Schrödinger's Cat, Stardust, Science: A History and Deep Simplicity. Gribbin trained as an astrophysicist at Cambridge University and is currently Visiting Fellow in Astronomy at the University of Sussex.

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    Detailed color exercises allow the "artist" to recognize countries by shape as well as location, gain a sense of the relative sizes of nations and states, and visualize the location of a nation within the context of its continent.

    Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack ofadvanced prerequisites, and consciously user-friendly prose style will help students to master the subject more readily than was previously possible. The key to this is the book's use of new geometric arguments in place of the standard calculational ones. These geometric arguments are communicatedwith the aid of hundreds of diagrams of a standard seldom encountered in mathematical works. A new approach to a classical topic, this work will be of interest to students in mathematics, physics, and engineering, as well as to professionals in these fields.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    This latest book gives you a precise regimen for self-treatment along with extensive information on other resources now available to you.

    Thank you for your feedback and patience.From Andrew Warner:I first interviewed Paul Graham after I heard something shocking from Alexis Ohanian, a founder whose company was funded by Graham's Y Combinator. Alexis came to Mixergy to tell the story of how he launched and sold Reddit.If you're a founder, you know the kind of problems that founders have, right? Figuring out what product to create, how to build it, how to get users to try it, etc.Well Alexis didn't seem to have those problems, or at least they weren't as challenging for him as they were for most of the other 600 entrepreneurs I interviewed on Mixergy.Why? Because Paul Graham helped him launch his business.How did Graham make Reddit's launch easier and more successful than other companies' founding? How did he do the same for hundreds of other startups? And, more importantly, what can you learn from his experiences to grow your business?The book you're holding has those answers.Use what you're about to learn to build your successful startup. After you do, I hope you'll let me interview you so other founders can learn from your experience, the way you're about to benefit from Graham's.About Hyperink, the publisher:Hyperink is the easiest way for anyone to publish a beautiful, high-quality book.We work closely with subject matter experts to create each eBook. We cover topics ranging from higher education to job recruiting, from Android apps marketing to barefoot running.If you have interesting knowledge that people are willing to pay for, especially if you've already produced content on the topic, please reach out to us! There's no writing required and it's a unique opportunity to build your own brand and earn royalties.

    Whether you’re enraged by Ikea’s Verdanagate, want to know what the Beach Boys have in common with easy Jet or why it’s okay to like Comic Sans, Just My Type will have the answer. Learn why using upper case got a New Zealand health worker sacked. Refer to Prince in the Tafkap years as a Dingbat (that works on many levels). Spot where movies get their time periods wrong and don’t be duped by fake posters on eBay. Simon Garfield meets the people behind the typefaces and along the way learns why some fonts – like men – are from Mars and some are from Venus. From type on the high street and album covers, to the print in our homes and offices, Garfield is the font of all types of knowledge.

    All sides of production are clearly explained in jargon-free prose, and unfamiliar terms are highlighted and defined in an appended glossary. In addition to discussions on the more traditional elements of technical theater, this book gives equal weight to the new technologies that have become mainstream, including software (DMX, MIDI, and SMPTI) for show control systems, software to build audio cues, and PC-based audio play-back systems.Allworth Press, an imprint of Skyhorse Publishing, publishes a broad range of books on the visual and performing arts, with emphasis on the business of art. Our titles cover subjects such as graphic design, theater, branding, fine art, photography, interior design, writing, acting, film, how to start careers, business and legal forms, business practices, and more. While we don't aspire to publish a New York Times bestseller or a national bestseller, we are deeply committed to quality books that help creative professionals succeed and thrive. We often publish in areas overlooked by other publishers and welcome the author whose expertise can help our audience of readers.