In general if a linear program has an optimal solution, then a primal and dual optimal solution is a certificate of the solvable status. Furthermore, it is well known that in the solvable case, then the linear program always has an optimal basic solution. Similarly, when a linear program is primal or dual infeasible then by Farkas's Lemma a certificate of the infeasible status exists. However, in the primal or dual infeasible case then there is not an uniform definition of what a suitable basis certificate of the infeasible status is.In this work we present a definition of a basis certificate and develop a strongly polynomial algorithm which given a Farkas type certificate of infeasibility computes a basis certificate of infeasibility. This result is relevant for the recently developed interior-point methods because they do not compute a basis certificate of infeasibility in general. However, our result demonstrates that a basis certificate can be obtained at a moderate computational cost.
[1]
Knud D. Andersen,et al.
The Mosek Interior Point Optimizer for Linear Programming: An Implementation of the Homogeneous Algorithm
,
2000
.
[2]
J. L. Nazareth.
Computer solution of linear programs
,
1987
.
[3]
Jean-Philippe Vial,et al.
Theory and algorithms for linear optimization - an interior point approach
,
1998,
Wiley-Interscience series in discrete mathematics and optimization.
[4]
Nimrod Megiddo,et al.
On Finding Primal- and Dual-Optimal Bases
,
1991,
INFORMS J. Comput..
[5]
Y. Ye,et al.
Combining Interior-Point and Pivoting Algorithms for Linear Programming
,
1996
.
[6]
Yinyu Ye,et al.
Interior point algorithms: theory and analysis
,
1997
.
[7]
Stephen J. Wright.
Primal-Dual Interior-Point Methods
,
1997,
Other Titles in Applied Mathematics.