Produktdetaljer
Biografisk notat
Robert Sedgewick has been a Professor of Computer Science at Princeton University since 1985, where he was the founding Chairman of the Department of Computer Science. He has held visiting research positions at Xerox PARC, Institute for Defense Analyses, and INRIA, and is member of the board of directors of Adobe Systems. Professor Sedgewick’s research interests include analytic combinatorics, design and analysis of data structures and algorithms, and program visualization. His landmark book, Algorithms, now in its fourth edition, has appeared in numerous versions and languages over the past thirty years. In addition, with Kevin Wayne, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008).
Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has been teaching since 1998. He received a Ph.D. in operations research and industrial engineering from Cornell University. His research interests include the design, analysis, and implementation of algorithms, especially for graphs and discrete optimization. With Robert Sedgewick, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008).
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. 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.
- Chapter 1: Fundamentals
- 1.1 Programming Model
- 1.2 Data Abstraction
- 1.3 Queues, Stacks, and Bags
- 1.4 Analysis of Algorithms
- 1.5 Case Study: Union-Find
- Chapter 2: Sorting
- 2.1 Elementary Sorts 2.1 Elementary Sorts
- 2.2 Mergesort
- 2.3 Quicksort
- 2.4 Priority Queues
- 2.5 Applications
- Chapter 3: Searching
- 3.1 Symbol Tables 3.1 Symbol Tables
- 3.2 Binary Search Trees
- 3.3 Balanced Search Trees
- 3.4 Hash Tables
- 3.5 Applications
- Chapter 4: Graphs
- 4.1 Undirected graphs 4.1 Undirected graphs
- 4.2 Directed graphs
- 4.3 Minimum Spanning Trees
- 4.4 Shortest Paths
- Chapter 5: Strings
- 5.1 String Sorts 5.1 String Sorts
- 5.2 Tries
- 5.3 Substring Search
- 5.4 Regular Expressions
- 5.5 Data Compression
- Context
- Systems Programming Systems Programming
- Scientific Computing
- Commercial Applications
- Operations Research
- Intractability
- Index
The long-time best-seller on using algorithms -- now fully updated, broadened, and available again in a popular single-volume format!
Produktdetaljer
Biografisk notat
Robert Sedgewick has been a Professor of Computer Science at Princeton University since 1985, where he was the founding Chairman of the Department of Computer Science. He has held visiting research positions at Xerox PARC, Institute for Defense Analyses, and INRIA, and is member of the board of directors of Adobe Systems. Professor Sedgewick’s research interests include analytic combinatorics, design and analysis of data structures and algorithms, and program visualization. His landmark book, Algorithms, now in its fourth edition, has appeared in numerous versions and languages over the past thirty years. In addition, with Kevin Wayne, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008).
Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has been teaching since 1998. He received a Ph.D. in operations research and industrial engineering from Cornell University. His research interests include the design, analysis, and implementation of algorithms, especially for graphs and discrete optimization. With Robert Sedgewick, he is the coauthor of the highly acclaimed textbook, Introduction to Programming in Java: An Interdisciplinary Approach (Addison-Wesley, 2008).