Algorithms 4th Edition
This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing — including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains * An online synopsis * Full Java implementations * Test data * Exercises and answers * Dynamic visualizations * Lecture slides * Programming assignments with checklists * Links to related material The MOOC related to this book is accessible via the “Online Course” link at algs4. cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
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How to make customers feel good about doing what you want Learn how companies make us feel good about doing what they want. Approaching persuasive design from the dark side, this book melds psychology, marketing, and design concepts to show why we’re susceptible to certain persuasive techniques. Packed with examples from every nook and cranny of the web, it provides easily digestible and applicable patterns for putting these design techniques to work. Organized by the seven deadly sins, it includes: Pride — use social proof to position your product in line with your visitors’ values Sloth — build a path of least resistance that leads users where you want them to go Gluttony — escalate customers’ commitment and use loss aversion to keep them there Anger — understand the power of metaphysical arguments and anonymity Envy — create a culture of status around your product and feed aspirational desires Lust — turn desire into commitment by using emotion to defeat rational behavior Greed — keep customers engaged by reinforcing the behaviors you desire Now you too can leverage human fallibility to create powerful persuasive interfaces that people will love to use — but will you use your new knowledge for good or evil? Learn more on the companion website, evilbydesign.info.
About the Author
Chris Nodder is an independent consultant with 20 years’ experience working with large organizations and lean startups to make user experience central to their business strategy. He was previously a director at the prestigious Nielsen Norman Group, and a senior user researcher at Microsoft. He has an MS in Human-Computer Interaction and a BS in Psychology.
Developed as the text for the basic computer architecture course at MIT, this book integrates a thorough coverage of digital logic design with a comprehensive presentation of computer architecture. It spans the entire range of topics from analog circuit design to operating systems. The authors seek to demystify the construction of computing hardware by illustrating systematically how it is built up from digital circuits through higher-level components to processors and memories, and how its design is affected by its intended uses. “Computation Structures” is unusually broad in scope, considering many real-world problems and trade-off decisions faced by practicing engineers. These difficult choices are confronted and given careful attention throughout the book. Topics addressed include the digital abstraction; digital representations and notation; combinational devices and circuits; sequence and state; synthesis of digital systems; finite state machines; control structures and disciplines; performance measures and trade offs; communication; interpretation; micro-interpreter architecture; microprogramming and microcode; single sequence machines; stack architectures; register architectures; reduced instruction set computers; memory architectures; processes and processor multiplexing; process synchronization; interrupts, priorities, and real time; directions and trends.
About the Author
Nicole Fenton is an independent writer and editor in Brooklyn. She has worked at a large social network, a startup incubator, a design studio, and Apple. She manages content projects of all sizes and teaches writing as a design practice. Kate Kiefer Lee is a writer and editor at MailChimp and a former magazine editor. She has written for publications like Forbes and A List Apart, and spoken about web content around the world. She teaches people how to write like they talk.