Fields of Research
Nonlinear Optimization
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Stochastic Optimization
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Structure, stability and numerics of optimization problems with
probabilistic
(chance) constraints
- Stochastic optimization problems with equilibrium constraints
- scenario reduction
- application to engineering problems (chemical engineering,
power production)
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Nonsmooth Optimization
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Lipschitz properties of multifunctions (metric regularity, calmness)
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Properties and calculus of nonconvex dual objects (limiting
subdifferential, normal
cone and coderivative)
- Stationarity conditions for equilibrium problems with
equilibrium constraints (EPECs)
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Parametric and semi-infinite Optimization
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Generic structure of multiparametric optimization problems
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Stability of constraints sets defined by an infinite number of
inequalities
Multivariate Data Analysis
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Analysis of multi-way data arrays
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Core transformations in the Tucker3 model
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Multicomponent calibration