### Abstract

Original language | English |
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Place of Publication | Eindhoven |

Publisher | Technische Universiteit Eindhoven |

Number of pages | 15 |

Publication status | Published - 1991 |

### Publication series

Name | Memorandum COSOR |
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Volume | 9135 |

ISSN (Print) | 0926-4493 |

### Fingerprint

### Cite this

*On the complexity of postoptimality analysis of 0/1 programs*. (Memorandum COSOR; Vol. 9135). Eindhoven: Technische Universiteit Eindhoven.

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*On the complexity of postoptimality analysis of 0/1 programs*. Memorandum COSOR, vol. 9135, Technische Universiteit Eindhoven, Eindhoven.

**On the complexity of postoptimality analysis of 0/1 programs.** / van Hoesel, C.P.M.; Wagelmans, A.P.M.

Research output: Book/Report › Report › Academic

TY - BOOK

T1 - On the complexity of postoptimality analysis of 0/1 programs

AU - van Hoesel, C.P.M.

AU - Wagelmans, A.P.M.

PY - 1991

Y1 - 1991

N2 - In this paper we address the complexity of postoptimality analysis of 0/1 programs with a linear objective function. After an optimal solution has been determined for a given cost vector, one may want to know how much each cost coefficient can vary individually without affecting the optimality of the solution. We show that, under mild conditions, the existence of a polynomial method to calculate these maximal ranges implies a polynomial method to solve the 0/1 program itself. As a consequence, postoptimality analysis of many well-known NP-hard problems can not be performed by polynomial methods, unless P=NP. A natural question that arises with respect to these problems is whether it is possible to calculate in polynomial time reasonable approximations of the maximal ranges. We show that it is equally unlikely that there exists a polynomial method that calculates conservative ranges for which the relative deviation from the true ranges is guaranteed to be at most some constant. Finally, we address the issue of postoptimality analysis of e-optimal solutions of NP-hard 0/1 problems. It is shown that for an e-optimal solution that has been determined in polynomial time, it is not possible to calculate in polynomial time the maximal amount by which a cost coefficient can be increased such that the solution remains e-optimal, unless P=NP.

AB - In this paper we address the complexity of postoptimality analysis of 0/1 programs with a linear objective function. After an optimal solution has been determined for a given cost vector, one may want to know how much each cost coefficient can vary individually without affecting the optimality of the solution. We show that, under mild conditions, the existence of a polynomial method to calculate these maximal ranges implies a polynomial method to solve the 0/1 program itself. As a consequence, postoptimality analysis of many well-known NP-hard problems can not be performed by polynomial methods, unless P=NP. A natural question that arises with respect to these problems is whether it is possible to calculate in polynomial time reasonable approximations of the maximal ranges. We show that it is equally unlikely that there exists a polynomial method that calculates conservative ranges for which the relative deviation from the true ranges is guaranteed to be at most some constant. Finally, we address the issue of postoptimality analysis of e-optimal solutions of NP-hard 0/1 problems. It is shown that for an e-optimal solution that has been determined in polynomial time, it is not possible to calculate in polynomial time the maximal amount by which a cost coefficient can be increased such that the solution remains e-optimal, unless P=NP.

M3 - Report

T3 - Memorandum COSOR

BT - On the complexity of postoptimality analysis of 0/1 programs

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -