Эффективный метод обратного барьера для нелинейной оптимизации

In this paper, we use a new variant of inverse barrier method to solve a nonlinear optimization problem. The new inverse barrier function depends on the components of the penalty vector and preserves the properties of the original problem. The descent direction is calculated using Newton’s method, while the step size is calculated using the tangent technique and the backtracking with interpolation technique in parallel with Wolfe’s method