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Filed under: Bridges -- Foundations and piers -- Protection- Ship Collisions With Bridges: The Nature of the Accidents, Their Prevention and Mitigation (Washington: National Academy Press, 1983), by National Research Council Committee on Ship-Bridge Collisions
Filed under: Piling (Civil engineering)Filed under: Railroad tracks -- FoundationsFiled under: Arithmetic -- Foundations
Filed under: Algorithms- 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
- 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)
Filed under: Computer programming -- Congresses
Filed under: Library information networks -- United States -- CongressesFiled under: Natural computation -- CongressesFiled under: Control theory -- CongressesFiled under: Algorithms -- Problems, exercises, etc.Filed under: Algorithms -- Psychological aspectsFiled under: Algorithms -- Sociological aspectsFiled under: Boosting (Algorithms)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: Machine theoryFiled under: Programming (Mathematics)Filed under: Transformations (Mathematics)Filed under: Geometry -- FoundationsFiled under: Mathematical analysis -- Foundations
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