Design and Analysis of Computer Algorithms
by David M. Mount
Publisher: University of Maryland 2003
Number of pages: 135
Programming is a very complex task, and there are a number of aspects of programming that make it so complex. The first is that most programming projects are very large, requiring the coordinated efforts of many people. (This is the topic a course like software engineering.) The next is that many programming projects involve storing and accessing large quantities of data efficiently. (This is the topic of courses on data structures and databases.) The last is that many programming projects involve solving complex computational problems, for which simplistic or naive solutions may not be efficient enough. The complex problems may involve numerical data (the subject of courses on numerical analysis), but often they involve discrete data. This is where the topic of algorithm design and analysis is important.
Home page url
Download or read it online for free here:
by Ian Craw, John Pulham - University of Aberdeen
This course studies computer algorithms, their construction, validation and effectiveness. A number of topics will be covered: a general introduction to the subject, the problem of sorting data sets into order, the theory of formal grammars, etc.
by Brad Miller, David Ranum - Franklin, Beedle & Associates
This textbook is designed as a text for a first course on data structures and algorithms, taught as the second course in the computer science curriculum. We cover abstract data types and data structures, writing algorithms, and solving problems.
by Robert Sedgewick, Kevin Wayne - Addison-Wesley Professional
This textbook surveys the most important algorithms and data structures in use today. Applications to science, engineering, and industry are a key feature of the text. We motivate each algorithm by examining its impact on specific applications.
by Macneil Shonle, Matthew Wilson, Martin Krischik - Wikibooks
An accessible introduction into the design and analysis of efficient algorithms. It explains only the most basic techniques, and gives intuition for and an introduction to the rigorous mathematical methods needed to describe and analyze them.