Buchberger algorithm
E243471
The Buchberger algorithm is a fundamental procedure in computational algebra for computing Gröbner bases of polynomial ideals, enabling systematic solutions to systems of polynomial equations.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Buchberger algorithm canonical | 3 |
| Bruno Buchberger's PhD thesis | 2 |
| Buchberger criteria for avoiding unnecessary S-polynomial reductions | 1 |
| Buchberger first criterion | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2151786 — 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.
Target entity: Buchberger algorithm Context triple: [Bruno Buchberger, knownFor, Buchberger algorithm]
-
A.
Gröbner basis
A Gröbner basis is a particular generating set of an ideal in a polynomial ring that allows algorithmic solutions to many problems in computational algebra, such as ideal membership and solving systems of polynomial equations.
-
B.
Knuth–Bendix completion algorithm
The Knuth–Bendix completion algorithm is a procedure in term rewriting and automated theorem proving that transforms a set of equations into a confluent rewriting system, enabling decision of word problems in algebraic structures.
-
C.
Hilbert’s Nullstellensatz
Hilbert’s Nullstellensatz is a foundational theorem in algebraic geometry that establishes a deep correspondence between ideals in polynomial rings and algebraic sets, linking algebra and geometry.
-
D.
Berlekamp’s algorithm for factoring polynomials over finite fields
Berlekamp’s algorithm for factoring polynomials over finite fields is a foundational deterministic method in computational algebra that efficiently decomposes polynomials into irreducible factors over finite fields and underpins many modern algorithms in coding theory and cryptography.
-
E.
Hilbert’s fourteenth problem
Hilbert’s fourteenth problem is one of David Hilbert’s famous list of 23 problems, concerning the finite generation of certain algebras of invariants in algebraic geometry and invariant theory.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Buchberger algorithm Target entity description: The Buchberger algorithm is a fundamental procedure in computational algebra for computing Gröbner bases of polynomial ideals, enabling systematic solutions to systems of polynomial equations.
-
A.
Gröbner basis
A Gröbner basis is a particular generating set of an ideal in a polynomial ring that allows algorithmic solutions to many problems in computational algebra, such as ideal membership and solving systems of polynomial equations.
-
B.
Knuth–Bendix completion algorithm
The Knuth–Bendix completion algorithm is a procedure in term rewriting and automated theorem proving that transforms a set of equations into a confluent rewriting system, enabling decision of word problems in algebraic structures.
-
C.
Hilbert’s Nullstellensatz
Hilbert’s Nullstellensatz is a foundational theorem in algebraic geometry that establishes a deep correspondence between ideals in polynomial rings and algebraic sets, linking algebra and geometry.
-
D.
Berlekamp’s algorithm for factoring polynomials over finite fields
Berlekamp’s algorithm for factoring polynomials over finite fields is a foundational deterministic method in computational algebra that efficiently decomposes polynomials into irreducible factors over finite fields and underpins many modern algorithms in coding theory and cryptography.
-
E.
Hilbert’s fourteenth problem
Hilbert’s fourteenth problem is one of David Hilbert’s famous list of 23 problems, concerning the finite generation of certain algebras of invariants in algebraic geometry and invariant theory.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
algorithm
ⓘ
computational algebra method ⓘ |
| appliesTo |
multivariate polynomial rings
ⓘ
polynomial ideals ⓘ |
| basedOn | S-polynomials ⓘ |
| complexity | doubly exponential in the worst case ⓘ |
| criterion |
Buchberger algorithm
self-linksurface differs
ⓘ
surface form:
Buchberger first criterion
Buchberger second criterion ⓘ |
| enables |
computation of elimination ideals
ⓘ
computation of intersections of ideals ⓘ computation of radicals of ideals ⓘ computation of syzygies ⓘ decision of ideal equality ⓘ ideal membership testing ⓘ systematic solution of systems of polynomial equations ⓘ |
| field |
commutative algebra
ⓘ
computational algebra ⓘ computer algebra ⓘ |
| generalizationOf | Gaussian elimination for linear systems (in the sense of polynomial ideals) ⓘ |
| hasOptimization |
Buchberger algorithm
self-linksurface differs
ⓘ
surface form:
Buchberger criteria for avoiding unnecessary S-polynomial reductions
|
| hasVariant |
F4 algorithm
ⓘ
F5 algorithm ⓘ |
| implementedIn |
Macaulay2
ⓘ
Maple ⓘ CAS (Computer Algebra System) ⓘ
surface form:
Mathematica
Singular ⓘ computer algebra systems ⓘ |
| input |
finite set of polynomials
ⓘ
monomial order on the polynomial ring ⓘ |
| introducedIn |
Buchberger algorithm
self-linksurface differs
ⓘ
surface form:
Bruno Buchberger's PhD thesis
|
| inventor | Bruno Buchberger ⓘ |
| mainPurpose | computing Gröbner bases ⓘ |
| namedAfter | Bruno Buchberger ⓘ |
| output |
Gröbner basis of the ideal generated by the input polynomials
ⓘ
reduced Gröbner basis (in a refined version) ⓘ |
| property |
produces a Gröbner basis equivalent to the original generating set
ⓘ
terminates for any finite set of polynomials and any monomial order ⓘ |
| relatedTo |
Gröbner basis
ⓘ
algebraic geometry ⓘ elimination theory ⓘ ideal theory ⓘ symbolic computation ⓘ |
| thesisInstitution | University of Innsbruck ⓘ |
| usesConcept |
leading monomial
ⓘ
leading term ⓘ monomial order ⓘ normal form with respect to a set of polynomials ⓘ polynomial reduction ⓘ term order ⓘ |
| yearProposed | 1965 ⓘ |
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.
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.
Subject: Buchberger algorithm Description of subject: The Buchberger algorithm is a fundamental procedure in computational algebra for computing Gröbner bases of polynomial ideals, enabling systematic solutions to systems of polynomial equations.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.