Community lockdowns and travel restrictions are commonly employed to decelerate epidemic spreading.We here use a stochastic susceptible-infectious-recovered model on different social networks to determine when and to what degree such lockdowns are likely to be effective.Our research shows that community lockdowns are effective only if the links out
This paper presents linear model predictive control (MPC) for multiple kinds of constraint based on the linear complementarity problem (LCP) that gives the explicit Toy upper bound of computational complexity.MPC generally solves constrained optimization problems.Its computational time should be strictly bounded for real-time applications.In a prev
Background.The relevance of the study is determined by the need to maintain the professional effectiveness of social workers who provide personalized support to veterans of military conflicts and their family’s veterans of military conflicts and their families.Given the high risk of such activities for the mental health and well-being of professi