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Data Structures

Demystified
Data Structures Image
Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this 'algebra of programming....

Data Structures and Algorithms in C++

Data Structures and Algorithms in C++ Image
2nd Edition
Building on widespread use of the C++ programming language in industry and education, this book provides a broad-based and case-driven study of data structures -- and the algorithms associated with them -- using C++ as the language of implementation....

Algorithms

Algorithms Image
Essential Information about Algorithms and Data Structures A Classic Reference The latest version of Sedgewick's best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know. See algs4.cs.princeton.edu/code. Completely Revised Code New Java implementations written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. Engages with Applications Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients a...

Algorithms in Java, Part 5

Graph Algorithms
Algorithms in Java, Part 5 Image
Algorithms in Java, Third Edition, Part 5: Graph Algorithms, contains six chapters that cover graph properties and types, graph search, directed graphs, minimal spanning trees, shortest paths, and networks. The descriptions here are intended to give students an understanding of the basic properties of as broad a range of fundamental graph algorithms as possible. In the third edition, many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. Unlike any other book on algorithms, not only will students get practical information on using algorithms in their work, they can also be assured that these algorithms rest on the most solid scientific foundations. And a new emphasis on abstract dat...


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