**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

**Algorithms**

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.

(

**14700**views)

**Algorithms and Data Structures: The Basic Toolbox**

by

**K. Mehlhorn, P. Sanders**-

**Springer**

This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, etc.

(

**13890**views)

**Elementary Algorithms**

by

**Larry LIU Xinyu**-

**Github**

'Elementary Algorithms' is a free book about elementary algorithms and data structures. This book doesn't only focus on an imperative (or procedural) approach, but also includes purely functional algorithms and data structures.

(

**8218**views)

**The Design of Approximation Algorithms**

by

**D. P. Williamson, D. B. Shmoys**-

**Cambridge University Press**

This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. It is organized around techniques for designing approximation algorithms, including greedy and local search algorithms.

(

**15241**views)