
Algorithms
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
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Start with this bookAbout 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.
Continue reading
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
| Algorithms | 100% |
|---|---|
| Computer Science | 42% |
| Computer Resources | 31% |
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