Abstract
In this chapter, we present in an unified manner the latest developments on inverse optimality problem for continuous piecewise affine (PWA) functions. A particular attention is given to convex liftings as a cornerstone for the constructive solution we advocate in this framework. Subsequently, an algorithm based on convex lifting is presented for recovering a continuous PWA function defined over a polyhedral partition of a polyhedron. We also prove that any continuous PWA function can be equivalently obtained by a parametric linear programming problem with at most one auxiliary one-dimensional variable.
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Acknowledgments
The first author would like to thank Dr. Martin Gulan, Dr. Michal Kvasnica, Prof. Miroslav Fikar, Dr. Sasa Rakovic, Prof. Franz Aurenhammer, and Prof. Boris Rohal’-Ilkiv for fruitful discussions and exchanges on topics related to this work.
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Nguyen, N.A., Olaru, S., Rodriguez-Ayerbe, P., Hovd, M., Necoara, I. (2015). Fully Inverse Parametric Linear/Quadratic Programming Problems via Convex Liftings. In: Olaru, S., Grancharova, A., Lobo Pereira, F. (eds) Developments in Model-Based Optimization and Control. Lecture Notes in Control and Information Sciences, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-319-26687-9_2
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