Applied Math and Science Education Repository - Dictionary of Algorithms, Data Structures, and Problems

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Title:

Dictionary of Algorithms, Data Structures, and Problems

Url:

https://xlinux.nist.gov/dads/

Creator:

Black, Paul E.

Publisher:

National Institute of Standards and Technology (U.S.)

Description: The National Institute of Standards and Technology has recently updated its online Dictionary of Algorithms, Data Structures and Problems. The dictionary takes the form of a hypertext alphabetical list of terms dealing with algorithmic techniques and functions (e.g., Ackermann's Function), data structures, archetypical problems (e.g., "traveling salesman"), and related definitions. Nice features of the site include a page of links to implementations (code) and some expanded definitions and diagrams for the terms. In addition to the complete alphabetical listing, the list of terms may also be viewed categorized by subject area or by type of term (graphs, trees, sorting, etc.). The site's manager, NIST computer scientist Paul Black, welcomes contributions and is particularly in need of terms in state machines, combinatorics, parallel and randomized algorithms, heuristics, and quantum computing. Note that this dictionary does not include algorithms particular to communications, information processing, operating systems, programming languages, artificial intelligence, graphics, or numerical analysis. Overall, however, it is a great resource for university students and researchers.

LC Classification:

Science -- Mathematics -- Dictionaries and encyclopedias
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Algorithms
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Data structures
Science -- Mathematics -- Nomenclature, terminology
Science -- Mathematics -- Philosophy -- Mathematical logic -- Constructive mathematics -- Algorithms

GEM Subject:

Mathematics
Mathematics -- Technology
Mathematics -- Instructional issues
Mathematics -- Applied mathematics

Key Concept:

Mathematics -- Algorithms
Computer science -- Algorithms
Computer science -- Data structures

Date Issued:

2006

Format:

Document -- HTML

Audience:

Learner

Education Level:

High School
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education

Language:

English

Access Rights:

Free access

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