Algorithms eBooks

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How to Think About Algorithms

There are many algorithm texts that provide lots of well-polished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author helps students avoid the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. Part of the goal is to teach the students to think abstractly. Without getting bogged with formal proofs, the book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a slow and cle...

Rexx

Programmer's Reference

Originally developed for mainframes but highly portable across platforms-from servers to desktops to handhelds-Rexx is an easy yet powerful scripting language that's widely used for rapid application development.Covers Rexx interpreters for specialized functions-object-oriented, mainframe, and handheld.There are 8 different free Rexx interpreters optimized for different platforms and uses. This book shows how to use them all.Shows how to script for GUIs, databases, web servers, XML, and other interfaces.Details how to make the best use of Rexx tools and interfaces, with examples for both Linux and Windows.Includes a tutorial with lots of examples to help people get up and running....

Practical Genetic Algorithms

2nd Edition

* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science* Most significant update to the second edition is the MATLAB codes that accompany the text* Provides a thorough discussion of hybrid genetic algorithms* Features more examples than first edition...

Pattern Classification

2nd Edition

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department....

Knapsack Problems

Algorithms and Computer Implementations

Here is a state of art examination on exact and approximate algorithms for a number of important NP-hard problems in the field of integer linear programming, which the authors refer to as ``knapsack.'' Includes not only the classical knapsack problems such as binary, bounded, unbounded or binary multiple, but also less familiar problems such as subset-sum and change-making. Well known problems that are not usually classified in the knapsack area, including generalized assignment and bin packing, are also covered. The text fully develops an algorithmic approach without losing mathematical rigor....