Stanley Osher
E853127
Stanley Osher is an American mathematician renowned for his influential work in numerical analysis and partial differential equations, particularly in developing high-resolution schemes for computational fluid dynamics and image processing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stanley Osher canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10270039 — 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: Stanley Osher Context triple: [Carl Friedrich Gauss Prize, hasRecipient, Stanley Osher]
-
A.
Charles S. Peskin
Charles S. Peskin is an American applied mathematician best known for developing the immersed boundary method for simulating fluid–structure interactions, particularly in modeling blood flow and the heart.
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B.
Alexandre J. Chorin
Alexandre J. Chorin is a mathematician renowned for his pioneering work in computational fluid dynamics and numerical methods for solving the Navier–Stokes equations.
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C.
Jonathan Sheinberg
Jonathan Sheinberg is an American film producer known for his work on movies such as "The Texas Chainsaw Massacre" (2003) and "McHale's Navy."
-
D.
Norman J. Zabusky
Norman J. Zabusky was an American physicist renowned for his pioneering work in computational fluid dynamics and the discovery of solitons in nonlinear wave equations.
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E.
Luis Caffarelli
Luis Caffarelli is an Argentine-American mathematician renowned for his groundbreaking work in partial differential equations and regularity theory, including major contributions to the theory of free boundary problems and the Navier–Stokes equations.
- 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: Stanley Osher Target entity description: Stanley Osher is an American mathematician renowned for his influential work in numerical analysis and partial differential equations, particularly in developing high-resolution schemes for computational fluid dynamics and image processing.
-
A.
Charles S. Peskin
Charles S. Peskin is an American applied mathematician best known for developing the immersed boundary method for simulating fluid–structure interactions, particularly in modeling blood flow and the heart.
-
B.
Alexandre J. Chorin
Alexandre J. Chorin is a mathematician renowned for his pioneering work in computational fluid dynamics and numerical methods for solving the Navier–Stokes equations.
-
C.
Jonathan Sheinberg
Jonathan Sheinberg is an American film producer known for his work on movies such as "The Texas Chainsaw Massacre" (2003) and "McHale's Navy."
-
D.
Norman J. Zabusky
Norman J. Zabusky was an American physicist renowned for his pioneering work in computational fluid dynamics and the discovery of solitons in nonlinear wave equations.
-
E.
Luis Caffarelli
Luis Caffarelli is an Argentine-American mathematician renowned for his groundbreaking work in partial differential equations and regularity theory, including major contributions to the theory of free boundary problems and the Navier–Stokes equations.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
mathematician ⓘ university professor ⓘ |
| academicAdvisor | Peter Lax NERFINISHED ⓘ |
| awardReceived |
Carl Friedrich Gauss Prize
NERFINISHED
ⓘ
Fellow of SIAM NERFINISHED ⓘ Fellow of the American Academy of Arts and Sciences ⓘ Fellow of the American Mathematical Society NERFINISHED ⓘ Guggenheim Fellowship ⓘ SIAM Kleinman Prize NERFINISHED ⓘ SIAM Pioneer Prize NERFINISHED ⓘ SIAM W. T. and Idalia Reid Prize NERFINISHED ⓘ SIAM von Neumann Prize NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| educatedAt |
Brooklyn College
NERFINISHED
ⓘ
New York University ⓘ |
| employer | University of California, Los Angeles ⓘ |
| fieldOfWork |
applied mathematics
ⓘ
computational fluid dynamics ⓘ image processing ⓘ numerical analysis ⓘ optimization ⓘ partial differential equations ⓘ scientific computing ⓘ |
| hasResearchInterest |
compressed sensing
ⓘ
computational methods for conservation laws ⓘ hyperbolic partial differential equations ⓘ image segmentation ⓘ inverse problems ⓘ machine learning in imaging ⓘ sparse optimization ⓘ |
| knownFor |
ENO schemes
NERFINISHED
ⓘ
Osher–Chakravarthy schemes NERFINISHED ⓘ Osher–Sethian level set formulation NERFINISHED ⓘ Osher–Solomon schemes NERFINISHED ⓘ WENO schemes NERFINISHED ⓘ high-resolution schemes for hyperbolic conservation laws ⓘ level set method ⓘ total variation denoising NERFINISHED ⓘ |
| memberOf |
American Academy of Arts and Sciences
ⓘ
National Academy of Sciences ⓘ
surface form:
National Academy of Sciences of the United States of America
|
| notableStudent | Chi-Wang Shu NERFINISHED ⓘ |
| notableWork |
development of ENO and WENO schemes
ⓘ
development of the level set method for moving interfaces ⓘ total variation based image denoising models ⓘ |
| occupation |
mathematician
ⓘ
university teacher ⓘ |
| positionHeld |
Director of Applied Mathematics at UCLA
ⓘ
Professor of Mathematics at UCLA ⓘ |
| workplace | Department of Mathematics, UCLA NERFINISHED ⓘ |
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: Stanley Osher Description of subject: Stanley Osher is an American mathematician renowned for his influential work in numerical analysis and partial differential equations, particularly in developing high-resolution schemes for computational fluid dynamics and image processing.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.