{"articles":{"gradient-ascent@computational-statistical-methods":{"content":"<p>Gradient ascent computes the gradient at \\({x}^{(t)}\\). It will point in the direction of steepest ascent. We follow this direction to find the next \\({x}^{(t+1)}\\). Terminates when the gradient is \\(0\\) or negligibly small.</p>","names":[[["Gradient ascent",""]]]}},"style":"Method"}