Algorithms by Robert Sedgewick

Algorithms

Robert Sedgewick, Kevin Wayne

Pearson Education · Print & ebook · March 24, 2011

A Computer Science pick for readers exploring Algorithms.

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Who it’s for
A practical survey of algorithms shows how compact ideas can tackle surprisingly broad computational problems.
Themes
Computer algorithms, Data structures, Computational problem-solving
Genres
Algorithms, Computer Science, Computer Resources

About this book

The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should know Princeton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts.

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They provide a full treatment of data structures and algorithms for key areas that enable you to confidently implement, debug, and put them to work in any computational environment. Fundamentals: - Basic programming models - Data abstraction - Bags, queues, and stacks - Analysis of algorithms Sorting - Elementary sorts - Mergesort - Quicksort - Priority queues - Applications Graphs - Undirected graphs - Directed graphs - Minimum spanning trees - Shortest paths Strings - String sorts - Tries - Substring search - Regular expressions - Data compression These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code. As a group, they represent problem-solving power of amazing scope. They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them.

Elegant Problem-Solving

A practical survey of algorithms shows how compact ideas can tackle surprisingly broad computational problems.

Come here for

  • Core methods spanning sorting, graphs, strings, and data structures
  • A bridge between algorithm analysis and implementation

Expect

  • Clear coverage of algorithms used across science, engineering, and computing
  • A focus on putting methods to work in computational environments

Where it sits

Algorithms100%
Computer Science42%
Computer Resources31%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Systems Design
  • Algorithms
Authors
Robert Sedgewick, Kevin Wayne
Publisher
Pearson Education
Published
March 24, 2011
Format
Print & ebook
Theme
Computer algorithms · Data structures · Computational problem-solving
Reading lane
Systems Design