The Design and Analysis of Computer Algorithms
E672018
The Design and Analysis of Computer Algorithms is a classic computer science textbook that systematically presents fundamental techniques and theoretical foundations for designing and analyzing efficient algorithms.
All labels observed (3)
| Label | Occurrences |
|---|---|
| The Design and Analysis of Computer Algorithms canonical | 2 |
| The Design and Analysis of Algorithms (textbook) | 1 |
| textbook "Algorithms" | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7539984 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Design and Analysis of Computer Algorithms Context triple: [Alfred V. Aho, coAuthorOf, The Design and Analysis of Computer Algorithms]
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A.
Introduction to Algorithms
Introduction to Algorithms is a widely used, comprehensive textbook on algorithms and data structures, renowned for its rigorous yet accessible coverage of theoretical and practical topics in computer science.
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B.
Algorithms + Data Structures = Programs
"Algorithms + Data Structures = Programs" is a classic computer science textbook by Niklaus Wirth that systematically teaches how combining appropriate data structures with algorithms leads to effective and efficient programs.
-
C.
The Art of Computer Programming
The Art of Computer Programming is Donald Knuth’s seminal multi-volume work that rigorously analyzes algorithms and data structures, widely regarded as one of the most influential and comprehensive texts in computer science.
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D.
"Reducibility Among Combinatorial Problems" (1972)
"Reducibility Among Combinatorial Problems" (1972) is a landmark paper by Richard Karp that introduced NP-completeness to a broad audience by showing polynomial-time reductions among 21 classic combinatorial decision problems.
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E.
P, NP, and NP-Completeness: The Basics of Complexity Theory
"P, NP, and NP-Completeness: The Basics of Complexity Theory" is a foundational textbook by Oded Goldreich that introduces the core concepts, problems, and techniques of computational complexity theory, with a focus on the classes P, NP, and NP-complete problems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Design and Analysis of Computer Algorithms Target entity description: The Design and Analysis of Computer Algorithms is a classic computer science textbook that systematically presents fundamental techniques and theoretical foundations for designing and analyzing efficient algorithms.
-
A.
Introduction to Algorithms
Introduction to Algorithms is a widely used, comprehensive textbook on algorithms and data structures, renowned for its rigorous yet accessible coverage of theoretical and practical topics in computer science.
-
B.
Algorithms + Data Structures = Programs
"Algorithms + Data Structures = Programs" is a classic computer science textbook by Niklaus Wirth that systematically teaches how combining appropriate data structures with algorithms leads to effective and efficient programs.
-
C.
The Art of Computer Programming
The Art of Computer Programming is Donald Knuth’s seminal multi-volume work that rigorously analyzes algorithms and data structures, widely regarded as one of the most influential and comprehensive texts in computer science.
-
D.
"Reducibility Among Combinatorial Problems" (1972)
"Reducibility Among Combinatorial Problems" (1972) is a landmark paper by Richard Karp that introduced NP-completeness to a broad audience by showing polynomial-time reductions among 21 classic combinatorial decision problems.
-
E.
P, NP, and NP-Completeness: The Basics of Complexity Theory
"P, NP, and NP-Completeness: The Basics of Complexity Theory" is a foundational textbook by Oded Goldreich that introduces the core concepts, problems, and techniques of computational complexity theory, with a focus on the classes P, NP, and NP-complete problems.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
algorithms textbook
ⓘ
computer science textbook ⓘ non-fiction book ⓘ |
| author |
Alfred V. Aho
ⓘ
Jeffrey D. Ullman ⓘ John E. Hopcroft ⓘ |
| educationalUse |
graduate teaching
ⓘ
undergraduate teaching ⓘ |
| field |
algorithms
ⓘ
computer science ⓘ theoretical computer science ⓘ |
| focus |
design of efficient algorithms
ⓘ
theoretical foundations of algorithms ⓘ |
| hasAuthorRole |
Alfred V. Aho is a computer scientist
ⓘ
Jeffrey D. Ullman is a computer scientist ⓘ John E. Hopcroft is a computer scientist ⓘ
linked to:
John E. Hopcroft
|
| influenced | later algorithms textbooks ⓘ |
| language | English ⓘ |
| notableFor |
rigorous analysis of algorithm efficiency
ⓘ
systematic presentation of algorithm design techniques ⓘ |
| pedagogicalApproach |
mathematical rigor
ⓘ
problem-solving techniques ⓘ |
| publisher | Addison-Wesley ⓘ |
| topic |
NP-completeness
ⓘ
algorithm analysis ⓘ algorithm design techniques ⓘ asymptotic notation ⓘ combinatorial algorithms ⓘ divide-and-conquer algorithms ⓘ dynamic programming ⓘ graph algorithms ⓘ greedy algorithms ⓘ minimum spanning trees ⓘ network flow algorithms ⓘ shortest path algorithms ⓘ space complexity ⓘ string matching algorithms ⓘ time complexity ⓘ |
| usedAs | university course textbook ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: The Design and Analysis of Computer Algorithms Description of subject: The Design and Analysis of Computer Algorithms is a classic computer science textbook that systematically presents fundamental techniques and theoretical foundations for designing and analyzing efficient algorithms.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: The Design and Analysis of Computer Algorithms
linked to: The Design and Analysis of Computer Algorithms