**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

**Greedy Algorithms**

by

**Witold Bednorz**-

**InTech**

Each chapter comprises a separate study on some optimization problem giving both an introductory look into the theory the problem comes from and some new developments invented by authors. Usually some elementary knowledge is assumed.

(

**10030**views)

**Problem Solving with Algorithms and Data Structures Using Python**

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.

(

**7188**views)

**Purely Functional Data Structures**

by

**Chris Okasaki**-

**Carnegie Mellon University**

This book describes data structures from the point of view of functional languages. The author includes both classical data structures, such as red-black trees, and a host of new data structures developed exclusively for functional languages.

(

**4284**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.

(

**2652**views)