Keil, ChristianChristianKeilJansson, ChristianChristianJansson2005-07-052005-07-052005Reliable Computing, Volume 12, Issue 4, Pages 303 - 321http://tubdok.tub.tuhh.de/handle/11420/41The Netlib library of linear programming problems is a well known suite containing many real world applications. Recently it was shown by Ordonez and Freund that 71% of these problems are ill-conditioned. Hence, numerical difficulties may occur. Here, we present rigorous results for this library that are computed by a verification method using interval arithmetic. In addition to the original input data of these problems we also consider interval input data. The computed rigorous bounds and the performance of the algorithms are related to the distance to the next ill-posed linear programming problem.enhttp://rightsstatements.org/vocab/InC/1.0/Rigorose Fehlerschrankenlinear programming, interval arithmetic, rigorous error bounds, sensitivity analysis, Netlib linear programming libraryPreprint2006-03-15urn:nbn:de:gbv:830-opus-89810.15480/882.39Lineare OptimierungIntervallalgebraSensitivitätsanalyseError boundsLinear programmingInterval and finite arithmetic11420/4110.15480/882.39930767961Preprint