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Filed under: Graph algorithms
Filed under: Graph algorithms -- Periodicals
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Filed under: Graph theory
Filed under: Graph theory -- Data processingFiled under: Graph theory -- PeriodicalsFiled under: Graph grammars
Filed under: Computer 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
- Clever Algorithms: Nature-Inspired Programming Recipes (c2011), by Jason Brownlee
- 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)
Filed under: Computer algorithms -- Textbooks
Filed under: Approximation algorithms |