The Art of Computer Programming

About This Section

Eventually, this section aims to serve as a companion to The Art of Computer Programming by Donald E. Knuth. A cornerstone of computer science literature, its insights into the world of algorithms and their implementations remain enduring and invaluable.

Started in 1962 as a single book covering the nascent computer science field, Knuth realized the subjects were best treated in depth, rather than a cursory overview, and the book became a multivolume set representing decades of research. This blend of historical significance and contemporary relevance makes it an indispensable resource for both novice and seasoned programmers alike.

These pages strictly serve as supplementary material to the books. Context for the algorithms presented here is omitted, as it is comprehensively covered within the books themselves. Our goal is to enhance the learning experience, allowing readers to explore and experiment with the algorithms discussed in the books.

Requirements

The Art of Computer Programming is not for the beginner programmer. This is a deep study into the analysis of algorithms, not a guide to programming in general. Each of these volumes covers multiple college semesters worth of material, when studied in full.

However, you can easily skim over the more difficult mathematical analysis and still learn a tremendous amount. Novices will benefit greatly from studying the algorithms and their implementations alone, while advanced programmers can delve into the intricacies of the mathematical analysis.

A note on buying the books: The first three volumes use an outdated computer architecture called MIX. There are two supplemental books that update those sections to the new MMIX architecture. Provided below are Amazon links to everything you need to have the most up-to-date information. (These are affiliate links, so we earn a small commission if you buy the books using them.)

Contents

The pages in this section are organized by subsection of the books.

  1. 1.3.3 Applications to Permutations
  2. 2.2.2 Sequential Allocation