
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapterlength discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems. 


  Lie Algebras: Theory and Algorithms, Volume 56 (NorthHolland Mathematical Library)
The aim of the present work is twofold. Firstly it aims at a giving an account of many existing algorithms for calculating with finitedimensional Lie algebras. Secondly, the book provides an introduction into the theory of finitedimensional Lie algebras. These two subject areas are intimately related. First of all, the algorithmic perspective...   Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)
This new third edition has again been thoroughly revised, even though the
changes are not as extensive as in the second edition. Of course, the general
aims of the book have remained the same.
In particular, I have added some additional material, namely two new
sections concerning graphical codes (which provides a... 
Approximation Algorithms
Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous...   Introduction to the Design and Analysis of Algorithms (3rd Edition)
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a studentfriendly style, the book emphasizes the understanding of ideas over excessively formal...   Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets
As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book... 
