Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners,

Data Structures & Theory of Computation

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Focuses on the interplay between algorithm design and the underlying computational models.

This book introduces the essential concepts of algorithm analysis required by core undergraduate and graduate computer science courses, in addition to providing