7d7ee69264
Changes:
- add: *Combinatorial Analysis and Computers* (1965) to
`combinatory_logic/README.md` list
- add: year to the other paper in the README
- fix: tweak format of papers README for readability
Decisions:
- I put this in the `combinatory_logic` folder, but I think it would
also fit in the `comp_sci_fundamentals_and_history` folder (given
Knuth's historical importance to the field and the more
theoretical nature of the paper). This seemed more direct.
---
Paper Title: Combinatorial Analysis and Computers
Author(s): Marshall Hall Jr. and Donald E. Knuth
Paper Year: 1965
Reasons for Including Paper:
Papers We Love DC/NoVA will be discussing this paper (and others) at our
November meetup.
This paper is included in Donald Knuth's book *Selected Papers
on Discrete Mathematics*. Knuth's writings have been extremely
important to the field of computer science, and I think that most of
his papers would fit in well here. This one introduces computational
complexity and the benefits/limits of computing, then it dives into
several combinatorial problems.
I find it interesting because 1) it's a neat view of the possibilities and
limitations of computation early on, and 2) the problems that he lays out
are interesting exercises even today.
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| _meetups/SanFrancisco | ||
| .github | ||
| android | ||
| api_design | ||
| artificial_intelligence | ||
| audio_comp_sci | ||
| biocomputing | ||
| caching | ||
| clustering_algorithms | ||
| combinatory_logic | ||
| comp_sci_fundamentals_and_history | ||
| computational_creativity | ||
| computer_architecture | ||
| computer_education | ||
| computer_graphics | ||
| computer_vision | ||
| concurrency | ||
| crash_only | ||
| cryptography | ||
| data_compression | ||
| data_fusion | ||
| data_replication | ||
| data_science | ||
| data_structures | ||
| datastores | ||
| design | ||
| digital_currency | ||
| distributed_systems | ||
| economics | ||
| ethics | ||
| experimental_algorithmics | ||
| gamification | ||
| garbage_collection | ||
| gossip | ||
| information_retrieval | ||
| information_theory | ||
| languages | ||
| logic_and_programming | ||
| machine_learning | ||
| macros | ||
| memory_management | ||
| networks | ||
| non_blocking_algorithms | ||
| operating_systems | ||
| organizational_simulation | ||
| paradigms | ||
| pattern_matching | ||
| physics | ||
| plt | ||
| processes | ||
| program_verification | ||
| quantum_computing | ||
| robotics | ||
| security | ||
| speech_recognition | ||
| sports_analytics | ||
| stringology | ||
| sublinear_algorithms | ||
| testing | ||
| time_series | ||
| user_interfaces | ||
| virtual_machines | ||
| .gitignore | ||
| CODE_OF_CONDUCT.md | ||
| README.md | ||
Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info.
Due to licenses we cannot always host the papers themselves (when we do, you will see a 📜 emoji next to its title in the directory README) but we can provide links to their locations.
If you enjoy the papers, perhaps stop by a local chapter meetup and join in on the vibrant discussions around them. You can also discuss PWL events, the content in this repository, and/or anything related to PWL on our Slack, after signing-up to join it, or on our #paperswelove IRC channel on freenode.
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