Algorithms
by Jeff Erickson
Publisher: University of Illinois at Urbana-Champaign 2009
Number of pages: 765
Description:
This course packet includes lecture notes, homework questions, and exam questions from algorithms courses the author taught at the University of Illinois at Urbana-Champaign. For the most part, these notes assume that the reader has mastered the material covered in the first two years of a typical undergraduate computer science curriculum.
Download or read it online for free here:
Download link
(20MB, PDF)
Similar books

by Guy Blelloch - The MIT Press
Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model.
(8672 views)

by Silvano Martello, Paolo Toth - John Wiley & Sons
The book on exact and approximate algorithms for a number of important problems in the field of integer linear programming, which the authors refer to as 'knapsack'. Includes knapsack problems such as binary, bounded, unbounded or binary multiple.
(13730 views)

by Jeffrey Scott Vitter - Now Publishers
The book describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, etc.
(8767 views)

by Steven M. LaValle - Cambridge University Press
Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this book tightly integrates a vast body of literature from several fields into a coherent source for reference in applications.
(15636 views)