Gomory cuts in integer programming
E718425
Gomory cuts in integer programming are a class of cutting-plane techniques that iteratively refine linear programming relaxations to find optimal integer solutions to mixed-integer optimization problems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Gomory cuts in integer programming canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8195468 — 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: Gomory cuts in integer programming Context triple: [Ralph E. Gomory, notableWork, Gomory cuts in integer programming]
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A.
Gale’s theorem on linear inequalities
Gale’s theorem on linear inequalities is a fundamental result in convex geometry and linear programming that characterizes the solvability of systems of linear inequalities via an associated alternative system.
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B.
Gale’s theorem on flows with convex costs
Gale’s theorem on flows with convex costs is a fundamental result in mathematical optimization and network flow theory that characterizes optimal flows in networks when the cost functions on edges are convex rather than linear.
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C.
"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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D.
The Design and Analysis of Computer Algorithms
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.
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E.
Garey and Johnson: Computers and Intractability
"Garey and Johnson: Computers and Intractability" is a foundational textbook in theoretical computer science that systematically develops the theory of NP-completeness and computational complexity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Gomory cuts in integer programming Target entity description: Gomory cuts in integer programming are a class of cutting-plane techniques that iteratively refine linear programming relaxations to find optimal integer solutions to mixed-integer optimization problems.
-
A.
Gale’s theorem on linear inequalities
Gale’s theorem on linear inequalities is a fundamental result in convex geometry and linear programming that characterizes the solvability of systems of linear inequalities via an associated alternative system.
-
B.
Gale’s theorem on flows with convex costs
Gale’s theorem on flows with convex costs is a fundamental result in mathematical optimization and network flow theory that characterizes optimal flows in networks when the cost functions on edges are convex rather than linear.
-
C.
"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.
-
D.
The Design and Analysis of Computer Algorithms
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.
-
E.
Garey and Johnson: Computers and Intractability
"Garey and Johnson: Computers and Intractability" is a foundational textbook in theoretical computer science that systematically develops the theory of NP-completeness and computational complexity.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
cutting-plane method
ⓘ
integer programming technique ⓘ optimization method ⓘ |
| appliedAt | nodes of a branch-and-bound tree ⓘ |
| appliesTo |
mixed-integer linear programming
ⓘ
pure integer linear programming ⓘ |
| assumption | variables have integrality restrictions ⓘ |
| basedOn | linear programming relaxation ⓘ |
| belongsTo | polyhedral theory of integer programming ⓘ |
| canBe | generated automatically by MIP solvers ⓘ |
| category | exact algorithmic technique ⓘ |
| characteristic |
derived from simplex tableau rows
ⓘ
separate current fractional solution ⓘ valid inequalities for integer hull ⓘ |
| developedBy | Ralph E. Gomory NERFINISHED ⓘ |
| effect | tightens feasible region toward integer hull ⓘ |
| field |
integer programming
ⓘ
mathematical optimization ⓘ operations research ⓘ |
| goal |
eliminate fractional solutions
ⓘ
enforce integrality of variables ⓘ tighten LP relaxation ⓘ |
| hasVariant |
Gomory fractional cut
NERFINISHED
ⓘ
Gomory mixed-integer cut NERFINISHED ⓘ pure-integer Gomory cut NERFINISHED ⓘ |
| implementedIn |
commercial MILP solvers
ⓘ
open-source MILP solvers ⓘ |
| improves |
lower bound for maximization problems
ⓘ
upper bound for minimization problems ⓘ |
| influenced | development of modern cutting-plane methods ⓘ |
| introducedIn | 1950s ⓘ |
| methodType |
cutting-plane algorithm
ⓘ
iterative refinement method ⓘ |
| namedAfter | Ralph E. Gomory NERFINISHED ⓘ |
| property |
can be applied iteratively until integrality is reached
ⓘ
do not remove any feasible integer solution ⓘ remove at least the current fractional LP solution ⓘ |
| relatedTo |
Chvátal–Gomory cuts
NERFINISHED
ⓘ
branch-and-cut NERFINISHED ⓘ simplex method ⓘ |
| requires | fractional basic variable in tableau ⓘ |
| typicalInput | optimal basis of LP relaxation ⓘ |
| typicalOutput | linear inequality added to LP ⓘ |
| usedFor |
finding optimal integer solutions
ⓘ
improving bounds in branch-and-bound ⓘ solving mixed-integer optimization problems ⓘ |
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Subject: Gomory cuts in integer programming Description of subject: Gomory cuts in integer programming are a class of cutting-plane techniques that iteratively refine linear programming relaxations to find optimal integer solutions to mixed-integer optimization problems.
Referenced by (1)
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