Algorithms (4th Edition)

Algorithms (4th Edition)

Robert Sedgewick, Kevin Wayne

Language: English

Pages: 992

ISBN: 032157351X

Format: PDF / Kindle (mobi) / ePub

This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing--including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.


The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts.


The companion web site,, contains

  • An online synopsis
  • Full Java implementations
  • Test data
  • Exercises and answers
  • Dynamic visualizations
  • Lecture slides
  • Programming assignments with checklists
  • Links to related material

The MOOC related to this book is accessible via the "Online Course" link at The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants.


Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

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Main(String[] args) { int T = Integer.parseInt(args[0]); Counter heads = new Counter("heads"); Counter tails = new Counter("tails"); for (int t = 0; t < T; t++) if (StdRandom.bernoulli(0.5)) heads.increment(); else tails.increment(); StdOut.println(heads); StdOut.println(tails); int d = heads.tally() - tails.tally(); StdOut.println("delta: " + Math.abs(d)); } } implementation application public class Counter { private final String name; private int count; % java 500172 499828 delta: public.

Mechanism that we consider is known as subtyping, which allows us to specify a relationship between otherwise unrelated classes by specifying in an interface a set of common methods that each implementing class must contain. An interface is nothing more than a list of instance methods. For example, instead of using our informal API, we might have articulated an interface for Date: public { int int int } interface Datable month(); day(); year(); and then referred to the interface in our.

Method purpose section Class getClass() what class is this object? 1.2 String toString() string representation of this object 1.1 equals(Object that) is this object equal to that? 1.2 hashCode() hash code for this object 3.4 boolean int Inherited methods from Object used in this book 101 102 CHAPTER 1 ■ Fundamentals String conversion. By convention, every Java type inherits toString() from Object, so any client can invoke toString() for any object. This convention is the.

Analyzing algorithm performance. The basis of our approach is the scientific method: we develop hypotheses about performance, create mathematical models, and run experiments to test them, repeating the process as necessary. We conclude with a case study where we consider solutions to a connectivity problem that uses algorithms and data structures that implement the classic union-find ADT. 3 4 CHAPTER 1 ■ Fundamentals Algorithms When we write a computer program, we are generally.

Collections of items are also of fundamental importance. We discuss basic and advanced methods for searching, including binary search trees, balanced search trees, and hashing. We note relationships among these methods and compare performance. Graphs (Chapter 4) are sets of objects and connections, possibly with weights and orientation. Graphs are useful models for a vast number of difficult and important problems, and the design of algorithms for processing graphs is a major field of study. We.

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