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Advancing parametric optimization: on multiparametric linear complementarity problems with parameters in general locations
The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution comes in the form of a...
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| Lenguaje: | eng |
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Springer
2021
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-61821-6 http://cds.cern.ch/record/2752783 |