The Online Books Page

Computer algorithms

See also what's at Wikipedia, your library, or elsewhere.

• Algorithms

• Computer algorithms -- Textbooks
• Graph algorithms
• Heuristic algorithms

• Matters Computational: Ideas, Algorithms, Source Code (prepublication version, 2011), by Jörg Arndt (PDF and other formats at jjj.de)
• Elements of Programming (authors' edition; 2019), by Alexander A. Stepanov and Paul McJones (PDF files with commentary at elementsofprogramming.com)
• Foundations of Machine Learning (second edition; Cambridge, MA and London: MIT Press, c2018), by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar (HTML at ublish.com)
• Machine Learning (main text c1997; additional chapters c2017), by Tom M. Mitchell (PDF with commentary at CMU)
• Open Data Structures (multiple editions; c2013), by Pat Morin
  • Java and C++ editions; PDF files with commentary at opendatastructures.org
  • AU Press edition; PDF with commentary at AU Press
• Clever Algorithms: Nature-Inspired Programming Recipes (c2011), by Jason Brownlee
  • PDF at Github
  • PDF with commentary at Github
• Algorithms and Data Structures (based on the 1985 edition; updated for Oberon in 2004), by Niklaus Wirth (PDF in Switzerland)
• Text Algorithms (electronic edition, 1997), by Maxime Crochemore and Wojciech Rytter (PDF in France)
• Algorithms and Complexity (first edition, 1994), by Herbert S. Wilf (PDF with commentary here at Penn)
• Information, Randomness and Incompleteness (second edition, 1990), by Gregory J. Chaitin (Postscript at Maine)
• Lecture Notes on Bucket Algorithms (1986), by Luc Devroye (PDF at devroye.org)
• Programming Computer Vision with Python (prepublication draft, 2012), by Jan Erik Solem (PDF with commentary at programmingconputervision.com)
• Computer Vision: Algorithms and Applications (prepublication draft, c2010), by Richard Szeliski (PDF with commentary at szeliski.org)
• Combinatorial Algorithms for Computers and Calculators (second edition, c1978), by Albert Nijenhuis and Herbert S. Wilf (PDF with commentary here at Penn)
• Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio)
• Data Structures and Algorithms With Object-Oriented Design Patterns in Java (online version, with links to versions for other languages; c1999), by Bruno R. Preiss (frame-dependent HTML at Wayback Machine)
• Elements of Causal Inference: Foundations and Learning Algorithms (Cambridge, MA and London: MIT Press, c2017), by Jonas Peters, Dominik Janzing, and Bernhard Schölkopf (PDF with commentary at MIT Press)
• Data Structures and Algorithms With Object-Oriented Design Patterns in C++ (online version, with links to versions for other languages; c1999), by Bruno R. Preiss (frame-dependent HTML at Wayback Machine)

• Algorithms (c2019), by Jeff Erickson (PDF files with commentary at Illinois)

• Knowledge Graphs and Big Data Processing (Lecture Notes in Computer Science #12072; Cham: Springer, c2020), ed. by Valentina Janev, Damien Graux, Hajira Jabeen, and Emanuel Sallinger (multiple formats at Springer Link)

• Journal of Graph Algorithms and Applications (1997-) (full serial archives)

• The Design of Approximation Algorithms (electronic prepublication edition, c2011), by David P. Williamson and David Bernard Shmoys (PDF files with commentary at designofapproxalgs.com)

Items below (if any) are from related and broader terms.

• Algorithms for Optimization (Cambridge, MA and London: MIT Press, c2019), by Mykel J. Kochenderfer and Tim A. Wheeler (PDF with commentary at algorithmsbook.com)
• Clever Algorithms: Nature-Inspired Programming Recipes (c2011), by Jason Brownlee
  • PDF at Github
  • PDF with commentary at Github
• Algorithms for Decision Making (Cambridge, MA and London: MIT Press, c2022), by Mykel J. Kochenderfer, Tim A. Wheeler, and Kyle H. Wray (PDF with commentary at algorithmsbook.com)
• Planning Algorithms (free online edition, c2006), by Steven Michael LaValle (illustrated HTML and PDF files with commentary at lavalle.pl)
• Probability and Algorithms (1992), by National Research Council Committee on Applied and Theoretical Statistics (page images with commentary at NAP)
• Elements of Robotics (Cham: Springer Open, c2018), by M. Ben-Ari and Francesco Mondada (PDF and EPub with commentary at EPFL and Springer)
• Optimization Algorithms on Matrix Manifolds (2008), by P.-A. Absil, R. Mahony, and R. Sepulchre (PDF files with commentary at Princeton)
• The Earliest Arithmetics in English (EETS extra series #118; London et al.: Pub. for the Early English Text Society, by H. Milford, Oxford University Press, 1922), ed. by Robert Steele, contrib. by Alexander de Villa Dei, Joannes de Sacro Bosco, and Robert Recorde (Gutenberg text)

• Algorithms for Optimization (Cambridge, MA and London: MIT Press, c2019), by Mykel J. Kochenderfer and Tim A. Wheeler (PDF with commentary at algorithmsbook.com)

• Live Coding: A User's Manual (Cambrige, MA and London: MIT Press, c2022), by Alan F. Blackwell, Emma Cocker, Geoff Cox, Alex McLean, and Thor Magnusson (multiple formats with commentary at toplap.org)

• The Everyday Life of an Algorithm (Cham: Palgrave Macmillan, c2019), by Daniel Neyland (PDF with commentary at OAPEN)

• Boosting: Foundations and Algorithms (Cambridge, MA and London: MIT Press, c2012), by Robert E. Schapire and Yoav Freund (HTML with commentary at MIT Press)

• Algorithmic Information Theory (based on the third printing, 1990), by Gregory J. Chaitin (PDF at Maine)
• Information-Theoretic Incompleteness, by Gregory J. Chaitin (Postscript at Maine)
• The Unknowable, by Gregory J. Chaitin (illustrated HTML at Maine)

• RAIRO: Theoretical Informatics and Applications (partial serial archives)

• AI for Everyone? Critical Perspectives (London: University of Westminster Press, c2021), ed. by Pieter Verdegem (multiple formats with commentary at University of Westminster Press)
• Artificial Intelligence and Games (2018), by Georgios N. Yannakakis and Julian Togelius (PDF with commentary at gameaibook.org)
• Artificial Intelligence and Responsive Optimization (second edition, 2003), by Mohammad Khosnevisan, Sukanto Bhattacharya, and Florentin Smarandache (PDF at UNM)
• Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong A.I. (c2002), ed. by Jay W. Richards, contrib. by Ray Kurzweil, John R. Searle, Michael J. Denton, William A. Dembski, Thomas S. Ray, and George F. Gilder (at kurzweilai.net)
• Artificial Intelligence (third edition, reprinted with corrections; Reading, MA et al.: Addison-Wesley Pub. Co., 1993), by Patrick Henry Winston (PDF at MIT)
• The Age of Intelligent Machines (c1992), by Ray Kurzweil (at kurzweilai.net)
• The Boundaries of Humanity: Humans, Animals, Machines (Berkeley: University of California Press, 1991), ed. by James J. Sheehan and Morton Sosna (HTML at UC Press)
• Artificial Intelligence Through Prolog (1988), by Neil C. Rowe (HTML at nps.edu)
• How Mobile Robots can Self-Organise a Vocabulary (Berlin: Language Science Press, c2015), by Paul Vogt
  • PDF with commentary at langsci-press.org
  • PDF at OAPEN
• Applications of Robotics and Artificial Intelligence to Reduce Risk and Improve Effectiveness: A Study for the United States Army (1983), by National Research Council Commission on Engineering and Technical Systems (page images with commentary at NAP)
• When Things Start to Think (c1999), by Neil A. Gershenfeld (HTML with commentary at kurzweilai.net)
• Elements of Robotics (Cham: Springer Open, c2018), by M. Ben-Ari and Francesco Mondada (PDF and EPub with commentary at EPFL and Springer)
• Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp (c1992), by Peter Norvig (multiple formats with commentary at Github)
• From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (Edmonton: AU Press, c2010), by Michael Robert William Dawson, Brian Dupuis, and Michael Wilson (PDF with commentary at AU Press)
• The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind (1978, with added notes and corrections), by Aaron Sloman (HTML and PDF with commentary in the UK)
• The Origin and Its Meaning, by Roger Ellman (PDF files at the-origin.org)

More items available under broader and related terms at left.