We consider an optimal control problem which serves as a mathematical model for several problems in economics and management.The problem is the minimization of a continuous constrained functional governed by a linear ...We consider an optimal control problem which serves as a mathematical model for several problems in economics and management.The problem is the minimization of a continuous constrained functional governed by a linear parabolic diffusion-advection equation controlled in a coefficient in advection part.The additional constraint is non-negativity of a solution of state equation.We construct and analyze several mesh schemes approximating the formulated problem using finite difference methods in space and in time.All these approximations keep the positivity of the solutions to mesh state problem,either unconditionally or under some additional constraints to mesh steps.This allows us to remove corresponding constraint from the formulation of the discrete problem to simplify its implementation.Based on theoretical estimates and numerical results,we draw conclusions about the quality of the proposed mesh schemes.展开更多
基金Shuhua Zhang was supported by the National Basic Research Program(No.2012CB955804)the Major Research Plan of the National Natural Science Foundation of China(No.91430108)+2 种基金the Natural Science Foundation of China(No.11771322)the Major Program of Tianjin University of Finance and Economics(No.ZD1302)Alexander Lapin was supported by Russian Foundation of Basic Researches(No.16-01-00408)and by program”1000 Talents”of China.
文摘We consider an optimal control problem which serves as a mathematical model for several problems in economics and management.The problem is the minimization of a continuous constrained functional governed by a linear parabolic diffusion-advection equation controlled in a coefficient in advection part.The additional constraint is non-negativity of a solution of state equation.We construct and analyze several mesh schemes approximating the formulated problem using finite difference methods in space and in time.All these approximations keep the positivity of the solutions to mesh state problem,either unconditionally or under some additional constraints to mesh steps.This allows us to remove corresponding constraint from the formulation of the discrete problem to simplify its implementation.Based on theoretical estimates and numerical results,we draw conclusions about the quality of the proposed mesh schemes.
