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estudierBest ResponseYou've already chosen the best response.0
Maxima: nearby gradient vectors all point toward the critical point (function increasing) Minima: nearby gradient vectors all point away from critical point (function decreasing) Saddles: some nearby gradients point toward, others away.
 one year ago

mathteacher1729Best ResponseYou've already chosen the best response.0
The gradient is the 3d equivalent of slope from 2d calculus. The gradient is zero at a minima or maxima. (because at that point the slope is neither increasing (+) nor decreasing ()) So looking at your contour plot... where is the minima (or maxima)? That's where the gradient is zero.
 one year ago

SUROJBest ResponseYou've already chosen the best response.0
@mathteacher1729 shouldn't that be around [0.3,0.3] in above contour plot?
 one year ago

mathteacher1729Best ResponseYou've already chosen the best response.0
@SUROJ Yes, that sounds about right. You'd need more contour lines to be sure,though.
 one year ago
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