This lecture covers the trust-region method, focusing on establishing simple rules for updating the trust-region radius and solving the trust-region subproblem approximately. It introduces the truncated conjugate gradients method as a modification of CG, ensuring at least as good performance as Cauchy steps and achieving local quadratic convergence like Newton.