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The key element of the approach to the theory of necessary conditions in optimal control discussed in the paper is reduction of the original constrained problem to unconstrained minimization with subsequent application of a suitable mechanism of local analysis to characterize minima of (necessarily nonsmooth) functionals that appear after reduction. Using unconstrained minimization at the crucial step of obtaining necessary conditions definitely facilitates studies of new phenomena and allows to get more transparent and technically simple proofs of known results. In the paper we offer a new proof of the maximum principle for a nonsmooth optimal control problem (in the standard Pontryagin form) with state constraints and then prove a new second order condition for a strong minimum in the same problem but with data differentiable with respect to the state and control variables. The role of variational analysis is twofold. Conceptually, the main considerations behind the reduction are connected with metric regularity and Ekelands principle. On the other hand, technically, calculation of subdifferentials of components of the functionals that appear after the reduction is an essential part of the proofs.
We present a first step towards a multigrid method for solving the min-cost flow problem. Specifically, we present a strategy that takes advantage of existing black-box fast iterative linear solvers, i.e. algebraic multigrid methods. We show with sta
We consider a network of prosumers involved in peer-to-peer energy exchanges, with differentiation price preferences on the trades with their neighbors, and we analyze two market designs: (i) a centralized market, used as a benchmark, where a global
Variational inequalities are modelling tools used to capture a variety of decision-making problems arising in mathematical optimization, operations research, game theory. The scenario approach is a set of techniques developed to tackle stochastic opt
In order to develop statistical methods for shapes with a tree-structure, we construct a shape space framework for tree-like shapes and study metrics on the shape space. This shape space has singularities, corresponding to topological transitions in
In this paper, we discuss and review how combined multi-view imagery from satellite to street-level can benefit scene analysis. Numerous works exist that merge information from remote sensing and images acquired from the ground for tasks like land co