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Carregando... Algorithms (original: 1983; edição: 1988)de Robert Sedgewick
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Registre-se no LibraryThing tpara descobrir se gostará deste livro. Ainda não há conversas na Discussão sobre este livro. This should probably be three stars, but I just can't make myself say "I liked it" because it's attached to the worst class I've ever taken. The book is fine and presents Algorithms in a decent way. The companion videos are very helpful for breaking down the examples. But this is material that I would only read if I were taking a class for it or was a hardcore programmer. ( ) I bought this book for the course on coursera.org. I ordered it from informit and it arrived immediately. It is a beautiful hardback edition, with ~950 fine quality pages and typography. I love it, I used it a lot in my assignments and exercises, it is really clear and helpful, the index makes it very easy to find the answer to your questions. The first part of the course covered half of it, and I will take the other part too, because the professor makes it really pleasant to study algorithms. One of the "foundation" books in computer science, this book presents algorithms, the step-by-step instructions for solving a variety of problems such as sorting and navigating trees and graphs. In an age of libraries freely available on the internet, this book tells you how to accomplish the task instead of just dropping in a solution. This edition presents the algorithms in Pascal; a newer edition might be available using C instead. sem resenhas | adicionar uma resenha
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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. Não foram encontradas descrições de bibliotecas. |
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Google Books — Carregando... GênerosClassificação decimal de Dewey (CDD)519.4Natural sciences and mathematics Mathematics Applied Mathematics, Probabilities Applied numerical analysisClassificação da Biblioteca do Congresso dos E.U.A. (LCC)AvaliaçãoMédia:
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