Just curious if Newton's method in high dimensions should always quickly converge to a min/max or saddle point. I can't seem to get the value of my gradient below 12-16; so, its not "diverging" but its not converging either. I want to avoid saddle points so I'm using Fletcher-Reeves method, but I figure if I test it with Newton-Raphson then it should at least converge to a saddle point quickly, right? (assuming my initial starting point is "good" in some sense).(adsbygoogle = window.adsbygoogle || []).push({});

thanks all

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# Newton's Method for Optimization

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