A Programmer's Companion to Algorithm Analysis

Describes how to progress from an effective algorithm to a successful software program Suggests ways to avoid the major problems that software engineers and programmers encounter when implementing algorithms Explains the fundamental differences betwee...

 Data Structures and Algorithm Analysis in C++

Mark Allen Weiss' innovative approach to algorithms and data structures teaches the simultaneous development of sound analytical and programming skills for the advanced data structures course. Readers learn how to reduce time constraints and develop progr...

 Online Computation and Competitive Analysis

In online computation a computer algorithm must decide how to act on incoming items of information without any knowledge of future inputs. How should it route the next telephone call? Where in memory should it store a just-closed record? This book provide...

 Experimental Algorithmics From Algorithm Design to Robust and Efficient Software

Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances. Perhaps the most important lesson in this process is that designi...

 Probability models for computer science

Current technological advances require the expert use of probability models. For instance, as programmers and researchers grapple with complex problems related to the Internet, they are turning to probabilistic modeling to predict the behavior of a new ca...

  Cryptography in C and C++

Detailed treatment of public key cryptography with detailed coverage of the RSA algorithm that is now in the public domain Explains and includes an implementation of Rijndael, the new American Encryption Standard in both C and C++ Not toy code(tm...

 Selected Papers on Analysis of Algorithms

Donald Knuth's influence in computer science ranges from the invention of methods for translating and defining programming languages to the creation of the TeX and METAFONT systems for desktop publishing. His award-winning textbooks have become classics o...

 Algorithms for Minimization Without Derivatives

Outstanding text for graduate students and research workers proposes improvements to existing algorithms, extends their related mathematical theories, and offers details on new algorithms for approximating local and global minima. Many numerical examples,...