Presents an adaptive approximation algorithm for general linear-multi-parametric optimization problems that generalizes prior methods to negative parameters and arbitrary sets, with structural results on parameter transformations and a negative result on approximability conditions.
Approximation methods for multiobjective optimiza- tion problems: a survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
An Adaptive Algorithm for the Approximation of General Linear-Parametric Optimization Problems
Presents an adaptive approximation algorithm for general linear-multi-parametric optimization problems that generalizes prior methods to negative parameters and arbitrary sets, with structural results on parameter transformations and a negative result on approximability conditions.