Gradient Ascent or Descent

$1$ point possible $($graded$)$

The direction of the derivative of a function gives us the direction of the largest change in the function as the

independent variables vary.

In gradient ascent$/$descent methods, we make an educated guess about the next values of $,$ with consecutive

updates that will hopefully eventually converge to the global minimum of $L(x,)($if it exists$).$

If

${}^{\text{'}}=+lon*gra{d}_{}L(x,)$

where $lon$ is a small positive real number, Which of the following is true?

$L(x,{}^{\text{'}})$