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Algorithm Design by Michael T. Goodrich
Book DescriptionMichael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. Market: Computer Scientists; Programmers.
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Book DetailsISBN: 9780471383659
(236mm x 190mm x 39mm)
Imprint: John Wiley & Sons Inc
Publisher: John Wiley and Sons Ltd
Publish Date: 24-Oct-2001
Country of Publication: United States
Books By Author Michael T. Goodrich
Algorithm Design and Applications, Hardback (December 2014)
Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich & Roberto Tamassia! Algorithms is a course required for all computer science majors, with a strong focus on theoretical topics.
Data Structures and Algorithms in Java, Paperback (July 2014)
The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures.
Data Structures and Algorithms in Python, Hardback (July 2013)
Based on the authors market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures.
Data Structures and Algorithms in C++, Paperback (March 2011)» View all books by Michael T. Goodrich
* The 2/e offers an innovative approach to data structures and algorithms by incorporating the object-oriented design paradigm using C++. * Takes highly visual approach and extensive suite of Web-based learning giving students the opportunity to see visual justifications of key analytic concepts.
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