The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together.After an introduction to programming concepts, the book presents both well-known and lesser-known computation models ("programming paradigms"). Each model has its own set of techniques and each is included on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, message-passing concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributed programming, and constraint programming. Each model is based on its kernel language—a simple core language that consists of a small number of programmer- significant elements. The kernel languages are introduced progressively, adding concepts one by one, thus showing the deep relationships between different models. The kernel languages are defined precisely in terms of a simple abstract machine. Because a wide variety of languages and programming paradigms can be modeled by a small set of closely related kernel languages, this approach allows programmer and student to grasp the underlying unity of programming. The book has many program fragments and exercises, all of which can be run on the Mozart Programming System, an Open Source software package that features an interactive incremental development environment.

    That's why you need to learn to think and trade like an institution. In this book you will learn: • How to work with Price Action • Price Action strategies that you can immediately put to use • How Volume Profile works • My favorite Volume Profile strategies • How to find your own trading style and what are the best trading instruments to trade • How to manage trading around macroeconomic news • How to do your market analysis from A to Z • How to manage your positions • How to do a proper money management • How to deal with trading psychology • How to do a proper backtest and how to get started with trading your backtested strategies • What are the most common trading mistakes and how to avoid them • The exact ways and rules I apply to my own trading You will learn all this in a simple, poignant way along with many examples and pictures. Book has 195 pages.

    Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.

    The heart of this creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design.

    Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

    Cryptography is vital to keeping information safe, in an era when the formula to do so becomes more and more challenging. Written by a team of world-renowned cryptography experts, this essential guide is the definitive introduction to all major areas of cryptography: message security, key negotiation, and key management. You'll learn how to think like a cryptographer. You'll discover techniques for building cryptography into products from the start and you'll examine the many technical changes in the field.After a basic overview of cryptography and what it means today, this indispensable resource covers such topics as block ciphers, block modes, hash functions, encryption modes, message authentication codes, implementation issues, negotiation protocols, and more. Helpful examples and hands-on exercises enhance your understanding of the multi-faceted field of cryptography.An author team of internationally recognized cryptography experts updates you on vital topics in the field of cryptography Shows you how to build cryptography into products from the start Examines updates and changes to cryptography Includes coverage on key servers, message security, authentication codes, new standards, block ciphers, message authentication codes, and more Cryptography Engineering gets you up to speed in the ever-evolving field of cryptography.

    A whole generation was introduced to object technology through the first edition of this book. This long-awaited new edition retains the qualities of clarity, practicality and scholarship that made the first an instant bestseller, but has been thoroughly revised and expanded.Among the new topics covered in depth are: concurrency, distribution, client/server and the Internet, object-oriented databases, design by contract, fundamental design patterns, finding classes, the use and misuse of inheritance, abstract data types, and typing issues. The book also includes completely updated discussions of reusability, modularity, software quality, object-oriented languages, memory management, and many other essential topics.

    This book follows in the tradition of the first two: It delivers new material, organized in bite-sized Items and grouped into themed sections. Readers of the first two books will find some familiar section themes, now including new material, such as exception safety, generic programming, and optimization and memory management techniques. The books overlap in structure and theme, not in content. This book continues the strong emphasis on generic programming and on using the C++ standard library effectively, including coverage of important template and generic programming techniques. Sutter's goal for this third and final book in his set is to present case studies that pull together themes from the previous books. This book also covers important points presented at the C++ Standard Committee where corrections to the Standard have been discussed and accepted.

    It offers a comprehensive and accessible treatment of the theory of algorithms and complexity—the elegant body of concepts and methods developed by computer scientists over the past 30 years for studying the performance and limitations of computer algorithms. The book is self-contained in that it develops all necessary mathematical prerequisites from such diverse fields such as computability, logic, number theory and probability.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    While there have been attempts to establish one standard or another as the default, there is no common agreement. So beware people telling you there is one right way, they are assuming too much. As a general rule though, netiquette involves the same principles as plain old etiquette -- basic courtesy, respect and ethics. Treat people the way you would want to be treated yourself. By following the principles outlined below, the recipient of your email will be more likely to read and act, if not be favorably impressed by your message:Subject line to summarise the message. Make the Subject line summarise the body of the e-mail. Ask yourself, 'will the recipient(s) know what this e-mail is about'. For example, Instead of Subject: Exam, say Subject: Location of 1508INT Exam, 23 July 2011.Don't assume the recipient knows the background. Include enough contextual information at the beginning of the e-mail for the recipient to know what the matter is about. If in doubt, put background information in. For example, don't say can I have an extension for my assignment?, instead say I refer to the CIT3622 assignment 1 that I handed in late. I was ill and have a doctor's certificate. May I ask for an extension on the basis that I was too ill to do it on time?Keep it concise. Keep messages brief and to the point, but not so brief that it causes the problem outlined in the previous point. This includes deleting any irrelevant text when an email has been back and forth several times. No-one wants to scroll down through pages of text in order to reach the message they want to read. If the sense of the email will be lost by deleting that text, however, leave it in.Reply within 24 hours. Try to reply within 24 hours, less if possible. In fact, get in the habit of replying immediately -- it is the polite thing to do, and the recipient will appreciate a prompt reply. It also makes you look efficient. The longer you leave it to reply, the more likely you will forget or have too big a log-jam of unanswered email.Allow time for a reply. E-mail messages are not usually required to be answered immediately, though it is good practice if you do. Before sending a reminder, allow some time for a response, some times even a few days. Not everyone is online 24 hours a day.Use the BCC field when sending bulk email. If you're sending email to a whole list of people, put their email addresses in the BCC field. That way, the privacy of the recipient is respected, and spammers cannot harvest the email addresses for their dastardly purposes.

     Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

    As you d expect, there s accurate, clearly written coverage of every exam objective (now including Service Pack 1): installation and configuration; user, group, and computer accounts; filesystems and backup/recovery; hardware, disk storage, and printers; Update Services and licensing; monitoring, and more. The content s been extensively revamped and more effectively focused on the exam s objectives. There s also a large Prepare for the Test section packed with questions, answers, testing skills, and suggested practices. You ll find more case studies, more troubleshooting scenarios, electronic practice testing in practically any form your heart desires, and (if you don t have Windows Server handy) a 120-day evaluation version. There s even a 15% discount coupon for your exam -- making this package an even more compelling proposition. Bill Camarda, from the June 2006 href="http://www.barnesandnoble.com/newslet... Only

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    Due to the unique construction of the Ichimoku cloud, which is the heart of this system, a trader can visually determine in an instant whether a chart is bullish or bearish! Not just that: Ichimoku clearly defines support and resistance, identifies trend direction, gauges momentum, and provides trading signals It is the only system with a built-in forward looking indicator Looking at Ichimoku charts on multiple time frames can offer a tell-all x-ray into the dynamics of any market It shows how to correctly time their entry and exit trades Most charting platforms today offer Ichimoku as an indicator. Packed with in-depth analysis of high-probability trading strategies and numerous real-market examples of stocks, derivatives, commodities and currency trades, this book reveals how you can make money using the powerful Ichimoku system, the candlestick cloud charts.