A regularized continuous first-order prediction linearization method with a variable metric for solving equilibrium programming problems with an inaccurately prescribed set

A regularized continuous variant of the first-order prediction linearization method in a variable-metric space is proposed for solving equilibrium problems with an inaccurately prescribed set. The convergence of the trajectory to a normal solution to this problem for an arbitrarily chosen initial point is proved. A regularizing operator is constructed.