**Average Case Analysis of Algorithms on Sequences**

by Wojciech Szpankowski

**Publisher**: Wiley-Interscience 2001**ISBN/ASIN**: 047124063X**ISBN-13**: 9780471240631**Number of pages**: 576

**Description**:

A timely book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications, most notably in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms, combining both analytical and probabilistic tools in a single volume.

Download or read it online for free here:

**Download link**

(multiple PS files)

## Similar books

**Combinatorial Algorithms**

by

**Albert Nijenhuis, Herbert S. Wilf**-

**Academic Press Inc**

This is a collection of mathematical algorithms with many new and interesting examples in this second edition. The authors tried to place in the reader's hands a kit of building blocks with which the reader can construct more elaborate structures.

(

**14696**views)

**Algorithmic Mathematics**

by

**Leonard Soicher, Franco Vivaldi**-

**Queen Mary University of London**

This text is a course in mathematical algorithms, intended for second year mathematics students. It introduces the algorithms for computing with integers, polynomials and vector spaces. The course requires no computing experience.

(

**18200**views)

**Introduction to Design Analysis of Algorithms**

by

**K. Raghava Rao**-

**Smashwords**

This book provides a complete information to the modern study of computer algorithms. It presents many concepts in a considerable depth, so that it can be understand by all levels of readers. Each and every concept is explained by suitable examples.

(

**6380**views)

**Open Data Structures: An Introduction**

by

**Pat Morin**-

**AU Press**

Offered as an introduction to the field of data structures and algorithms, the book covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs.

(

**11396**views)