MathComputational mathOptimization

Gradient Descent

Mind your step

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Match each of the following step sizes to the expected effect it has on the Gradient Descent method for a given function f(x,y)=x2+y2f(x,y)=\sqrt{x^2+y^2} and starting point x0=(2,3)\bold{x}_0=(2,3). Consider the first 10 iterations.

Match the items from left and right columns
0.8
2
-1
0.1
Descends but it gets stuck after a while
Overshoots from the start
Converges
Diverges from the start
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