Audience - GNU libavl 2.0.2

This book is intended both for novices interested in finding out about binary search trees and practicing programmers looking for a cookbook of algorithms. It has several features that will be appreciated by both groups:

Tested code: With the exception of code presented as counterexamples, which are clearly marked, all code presented has been tested. Most code comes with a working program for testing or demonstrating it.

No pseudo-code: Pseudo-code can be confusing, so it is not used.

Motivation: An important goal is to demonstrate general methods for programming, not just the particular algorithms being examined. As a result, the rationale for design choices is explained carefully.

Exercises and answers: To clarify issues raised within the text, many sections conclude with exercises. All exercises come with complete answers in an appendix at the back of the book.

Some exercises are marked with one or more stars (*). Exercises without stars are recommended for all readers, but starred exercises deal with particularly obscure topics or make reference to topics covered later.

Experienced programmers should find the exercises particularly interesting, because many of them present alternatives to choices made in the main text.

Asides: Occasionally a section is marked as an “aside”. Like exercises, asides often highlight alternatives to techniques in the main text, but asides are more extensive than most exercises. Asides are not essential to comprehension of the main text, so readers not interested may safely skip over them to the following section.

Minimal C knowledge assumed: Basic familiarity with the C language is assumed, but obscure constructions are briefly explained the first time they occur.
Those who wish for a review of C language features before beginning should consult [Summit 1999]. This is especially recommended for novices who feel uncomfortable with pointer and array concepts.
References: When appropriate, other texts that cover the same or related material are referenced at the end of sections.
Glossary: Terms are emphasized and defined the first time they are used. Definitions for these terms and more are collected into a glossary at the back of the book.
Catalogue of algorithms: See Catalogue of Algorithms, for a handy list of all the algorithms implemented in this book.