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In this lecture, we fill in the blanks left in our typical interior-point algorithm. We show how to solve its subproblems intuitively and efficiently. We next combine trust-regions and either a merit function or a filter to ensure global convergence to a critical point. Host: DDMA Data Sciences Summer School - Katharine Chartrand |