The cutting plane approach to finding minimum-cost perfect matchings has been discussed by several authors over past decades. Its convergence has been an open question. We develop a cutting plane algorithm that converges in polynomial-time using only Edmonds’ blossom inequalities, and which maintains half-integral intermediate LP solutions supported by a disjoint union of odd cycles and edges. Our main insight is a method to retain only a subset of the previously added cutting planes based on their dual values. This allows us to quickly find violated blossom inequalities and argue convergence by tracking the number of odd cycles in the support of intermediate solution
This is an example implementation, in Python 3, of the minimum-cost perfect matching algorithm descr...
Dual fractional cutting plane algorithms, in which cutting planes are used to iteratively tighten a ...
In this paper, we introduce a new cutting plane algorithm which is computationally less expensive an...
The cutting plane approach to finding minimum-cost perfect matchings has been discussed by several a...
The cutting plane approach to finding minimum-cost perfect matchings has been discussed by several a...
The cutting plane approach to optimal matchings has been discussed by several authors over the past ...
Cutting plane algorithms have turned out to be practically successful computational tools in combina...
Cutting plane algorithms have turned out to be practically successful computational tools in combina...
Integer programming (IP) problems are difficult to solve due to the integer restrictions imposed on ...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
Cutting plane algorithms have turned out to be practically successful computational tools in combina...
Colloque avec actes et comité de lecture. internationale.International audienceCutting planes were i...
This is an example implementation, in Python 3, of the minimum-cost perfect matching algorithm descr...
Dual fractional cutting plane algorithms, in which cutting planes are used to iteratively tighten a ...
In this paper, we introduce a new cutting plane algorithm which is computationally less expensive an...
The cutting plane approach to finding minimum-cost perfect matchings has been discussed by several a...
The cutting plane approach to finding minimum-cost perfect matchings has been discussed by several a...
The cutting plane approach to optimal matchings has been discussed by several authors over the past ...
Cutting plane algorithms have turned out to be practically successful computational tools in combina...
Cutting plane algorithms have turned out to be practically successful computational tools in combina...
Integer programming (IP) problems are difficult to solve due to the integer restrictions imposed on ...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
A cutting plane algorithm for minimum perfect 2-matchings / by M. Grötschel, O. Holland. - In: Compu...
Cutting plane algorithms have turned out to be practically successful computational tools in combina...
Colloque avec actes et comité de lecture. internationale.International audienceCutting planes were i...
This is an example implementation, in Python 3, of the minimum-cost perfect matching algorithm descr...
Dual fractional cutting plane algorithms, in which cutting planes are used to iteratively tighten a ...
In this paper, we introduce a new cutting plane algorithm which is computationally less expensive an...