Метод градиентного спуска
  • Finite element and finite difference methods;
  • Sequential unconstrained minimization;
  • Reduced gradient methods;
  • Sequential quadratic programming;
  • Interior-point methods;
  • Algorithmic Issues: search directions, line search, trust-region, merit functions, filter methods, conjugate gradients, factorization, convex set, convex functions, starting points, jamming.