Suggest edit — simulated annealing

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title: "simulated annealing"
source: https://www.jemoka.com/posts/kbhsimulated_annealing/
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Uses a randomness temperature, which starts high for exploration and slowly decreases by one of the Simulated Annealing Schedules. Whenever you are about to take a step, each step must be &ldquo;accepted&rdquo; with probability given by the Metropolis Criteria.
Intuition: &ldquo;sometimes, you try something that&rsquo;s bad, to jump out of local optima.&rdquo;
Metropolis Criteria \begin{align} P(\text{accept}) = \begin{cases} 1, \text{if}\ \Delta y \leq 0\\ \min \qty(e^{-\frac{\Delta y}{t}}, 1), \text{otherwise} \end{cases} \end{align}
where \(t\) is the temperature; meaning&mdash;-even if the next point \(\Delta y &gt; 0\) (meaning its bad, because it increases loss), we sometimes take that ponit still.
Simulated Annealing Schedule we need to decrease \(t\) by a schedule over time
Log \begin{equation} t = t \frac{\ln (2)}{\ln (k+1)} \end{equation}
Exponential best one
\begin{equation} t = \gamma t \end{equation}
Fast \begin{equation} t = \frac{t}{k} \end{equation}