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Analysis and Design of Algorithms provides a structured view of
algorithm design techniques in a concise, easy-to-read manner. The
book was written with an express purpose of being easy - to
understand, read, and carry. It presents a pioneering approach in
the teaching of algorithms, based on learning algorithm design
techniques, and not merely solving a collection of problems. This
allows students to master one design technique at a time and apply
it to a rich variety of problems. Analysis and Design of Algorithms
covers the algorithmic design techniques of divide and conquer,
greedy, dynamic programming, branch and bound, and graph traversal.
For each of these techniques, there are templates and guidelines on
when to use and not to use each technique. Many sections contain
innovative mnemonics to aid the readers in remembering the
templates and key takeaways. Additionally, the book covers
NP-completeness and the inherent hardness of problems. The third
edition includes a new section on polynomial multiplication, as
well as additional exercise problems, and an updated appendix.
Written with input from students and professionals, Analysis and
Design of Algorithms is well suited for introductory algorithm
courses at the undergraduate and graduate levels. The structured
organization of the text makes it especially appropriate for online
and distance learning.
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