To provide an automatic method for the regularization parameter when the noise level is known a priori, one way is to address the coupled Karush-Kuhn-Tucker (KKT) systems from the constrained total ...

In constrained optimization problems the rates of change of the objective function with respect to the independent (nonbasic) variables have been interpreted as shadow prices, dual variables, and ...

All optimization techniques stop iterating at x(k) if at least one of a set of termination criteria is satisfied. PROC NLP also terminates if the point x(k) is fully constrained by n linearly ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

If this number is followed by a plus sign (+), there are more active constraints, at least one of which is temporarily released from the working set due to negative Lagrange multipliers. the value of ...