Abstract: Driver models are invaluable for safety validation in simulation. However, driver modeling is characterized by a high degree of uncertainty.

Abstract:Variational quantum eigensolver (VQE) is a promising algorithm suitable for near-term quantum machines. VQE aims to approximate the lowest eigenvalue of an exponentially sized matrix in polynomial time.

Abstract: In this talk, I shall begin with explaining a model of random graph which is an instance of non-rank-1, inhomogeneous random graph.

Abstract: We introduce a new framework for unifying and systematizing the performance analysis of first-order black-box optimization algorithms for unconstrained convex minimization.

Abstract: The work is devoted to cooperative and coalitional game-theoretic methods for community detection in networks.The traditional methods for detecting community structure are based on selecting dense subgraphs inside the network.