Parallelizing Subgradient Methods for the Lagrangian Dual in Stochastic Mixed-Integer Programming
- Cong Han Lim ,
Corresponding Author
Cong Han Lim
[email protected]https://orcid.org/0000-0002-2033-4927
Wisconsin Institute for Discovery, University of Wisconsin–Madison, Madison, Wisconsin 53706;
- Jeffrey T. Linderoth ,
Jeffrey T. Linderoth
[email protected]https://orcid.org/0000-0003-4442-3059
Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, Wisconsin 53706;
- James R. Luedtke ,
James R. Luedtke
[email protected]https://orcid.org/0000-0001-9265-7728
Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, Wisconsin 53706;
- Stephen J. Wright
Stephen J. Wright
[email protected]https://orcid.org/0000-0001-6815-7379
Department of Computer Sciences, University of Wisconsin–Madison, Madison, Wisconsin 53706
Corresponding Author
Cong Han Lim
[email protected]https://orcid.org/0000-0002-2033-4927
Wisconsin Institute for Discovery, University of Wisconsin–Madison, Madison, Wisconsin 53706;
Jeffrey T. Linderoth
[email protected]https://orcid.org/0000-0003-4442-3059
Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, Wisconsin 53706;
James R. Luedtke
[email protected]https://orcid.org/0000-0001-9265-7728
Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, Wisconsin 53706;
Stephen J. Wright
[email protected]https://orcid.org/0000-0001-6815-7379
Department of Computer Sciences, University of Wisconsin–Madison, Madison, Wisconsin 53706
