Numerical Methods for Scientists and Engineers
E488676
Numerical Methods for Scientists and Engineers is a classic textbook by Richard W. Hamming that introduces and explains practical computational techniques for solving mathematical problems in science and engineering.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Numerical Methods for Scientists and Engineers canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T5036923 — 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: Numerical Methods for Scientists and Engineers Context triple: [Richard W. Hamming, notableWork, Numerical Methods for Scientists and Engineers]
-
A.
Numerical Recipes
Numerical Recipes is a widely used series of books that provides practical algorithms and explanations for numerical methods in scientific computing.
-
B.
Runge–Kutta methods
Runge–Kutta methods are a family of iterative techniques for numerically solving ordinary differential equations with higher accuracy than simple one-step schemes.
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C.
Finite Element Methods for Flow Problems
"Finite Element Methods for Flow Problems" is a foundational textbook that develops and applies finite element techniques to the numerical simulation of fluid flow and related transport phenomena.
-
D.
Euler’s method for numerical integration
Euler’s method for numerical integration is a simple first-order numerical procedure used to approximate solutions to ordinary differential equations by stepping forward in small increments.
-
E.
The Finite Element Method: Linear Static and Dynamic Finite Element Analysis
The Finite Element Method: Linear Static and Dynamic Finite Element Analysis is a foundational textbook that rigorously presents the theory and application of finite element techniques for solving linear static and dynamic problems in engineering and applied sciences.
- 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: Numerical Methods for Scientists and Engineers Target entity description: Numerical Methods for Scientists and Engineers is a classic textbook by Richard W. Hamming that introduces and explains practical computational techniques for solving mathematical problems in science and engineering.
-
A.
Numerical Recipes
Numerical Recipes is a widely used series of books that provides practical algorithms and explanations for numerical methods in scientific computing.
-
B.
Runge–Kutta methods
Runge–Kutta methods are a family of iterative techniques for numerically solving ordinary differential equations with higher accuracy than simple one-step schemes.
-
C.
Finite Element Methods for Flow Problems
"Finite Element Methods for Flow Problems" is a foundational textbook that develops and applies finite element techniques to the numerical simulation of fluid flow and related transport phenomena.
-
D.
Euler’s method for numerical integration
Euler’s method for numerical integration is a simple first-order numerical procedure used to approximate solutions to ordinary differential equations by stepping forward in small increments.
-
E.
The Finite Element Method: Linear Static and Dynamic Finite Element Analysis
The Finite Element Method: Linear Static and Dynamic Finite Element Analysis is a foundational textbook that rigorously presents the theory and application of finite element techniques for solving linear static and dynamic problems in engineering and applied sciences.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
mathematics book
ⓘ
nonfiction book ⓘ scientific computing book ⓘ textbook ⓘ |
| approach |
computational
ⓘ
practical ⓘ |
| audience |
advanced undergraduates
ⓘ
engineers ⓘ graduate students ⓘ scientists ⓘ |
| author | Richard W. Hamming ⓘ |
| emphasis |
applications in engineering
ⓘ
applications in science ⓘ |
| field |
applied mathematics
ⓘ
engineering mathematics ⓘ numerical analysis ⓘ scientific computing ⓘ |
| genre | educational literature ⓘ |
| hasAuthorProfession |
computer scientist
ⓘ
mathematician ⓘ |
| language | English ⓘ |
| notableFor |
clear exposition of numerical techniques
ⓘ
influence on numerical analysis education ⓘ |
| topic |
convergence of numerical methods
ⓘ
eigenvalue problems ⓘ error analysis ⓘ finite difference methods ⓘ interpolation ⓘ iterative methods ⓘ least squares approximation ⓘ matrix computations ⓘ numerical differentiation ⓘ numerical integration ⓘ numerical methods ⓘ numerical solution of ordinary differential equations ⓘ numerical solution of partial differential equations ⓘ polynomial approximation ⓘ roundoff error ⓘ solution of linear systems ⓘ solution of nonlinear equations ⓘ stability of numerical methods ⓘ truncation error ⓘ |
| use |
reference book
ⓘ
university 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: Numerical Methods for Scientists and Engineers Description of subject: Numerical Methods for Scientists and Engineers is a classic textbook by Richard W. Hamming that introduces and explains practical computational techniques for solving mathematical problems in science and engineering.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Hamming