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https://dx.doi.org/10.1007/978-3-319-20086-6_9

Separation of Generic Cutting Planes in Branch-and-Price Using a Basis

Dantzig-Wolfe reformulation of a mixed integer program partially convexifies a subset of the constraints, i.e., it implicitly adds all valid inequalities for the associated integer hull. Projecting an optimal basic solution of the reformulation’s LP relaxation...



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Separation of Generic Cutting Planes in Branch-and-Price Using a Basis

https://dx.doi.org/10.1007/978-3-319-20086-6_9

Dantzig-Wolfe reformulation of a mixed integer program partially convexifies a subset of the constraints, i.e., it implicitly adds all valid inequalities for the associated integer hull. Projecting an optimal basic solution of the reformulation’s LP relaxation...



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https://dx.doi.org/10.1007/978-3-319-20086-6_9

Separation of Generic Cutting Planes in Branch-and-Price Using a Basis

Dantzig-Wolfe reformulation of a mixed integer program partially convexifies a subset of the constraints, i.e., it implicitly adds all valid inequalities for the associated integer hull. Projecting an optimal basic solution of the reformulation’s LP relaxation...

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      Separation of Generic Cutting Planes in Branch-and-Price Using a Basis
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      Dantzig-Wolfe reformulation of a mixed integer program partially convexifies a subset of the constraints, i.e., it implicitly adds all valid inequalities for the associated integer hull. Projecting an optimal basic solution of the reformulation’s LP relaxation...

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      Dantzig-Wolfe reformulation of a mixed integer program partially convexifies a subset of the constraints, i.e., it implicitly adds all valid inequalities for the associated integer hull. Projecting an optimal basic solution of the reformulation’s LP relaxation...

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