Dynamic visualization means that we can see the concept or theory vividly, just like a video or movie. For example, in the Monte Carlo simulation, we could generate a set of random numbers from certain distributions, such as a uniform or a normal distribution. If we could show how particles moved within a range, learners would understand the concept of randomness better. This is like dropping red ink into a basin of water and observing how the ink diffuses. Another example is related to the so-called bisection method or bisection search. Assume that we have a database that contains daily trading data for over 5,000 stocks. There are many ways to retrieve one specific stock's information. One is called sequential search. In a sequential search, we pick up the first stock and compare it with our target. If it doesn't match, we go to the next stock...
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