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Fixed some code/math
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@ -62,9 +62,9 @@ To add up these small areas we need to make an assumption. The assumption is tha
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This will allow us to perform a pooled empiricle probability on the simulations to sum up the areas.
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Meaning the area of the circle will be the number of times that the inequality was satisfied $$A_{circle} = \# Successes$$
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Meaning the area of the circle will be the number of times that the inequality was satisfied $$A_{circle} = \\# Successes$$
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And the area of the square will be the number of times the simulation was run, since the random numbers generated will always be between 0 and 1 $A_{square} = \# Trials$
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And the area of the square will be the number of times the simulation was run, since the random numbers generated will always be between 0 and 1 $A_{square} = \\# Trials$
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Recall that taking the ratio of the area of the circle and the area of the square is a fourth of pi. $$\frac{\frac{1}{4} \pi}{1} = \frac{1}{4} \pi$$
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@ -72,7 +72,7 @@ Multiply this number by 4 and you get the value for pi.
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This tells us that four times the probability that the randomly generated point is in the circle is equal to pi.
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$$\pi = 4 * (Probability\ of\ being\ inside\ circle) = 4 * \frac{\# Success}{\# Trials} = 4 * \frac{A\_{circle}}{A\_{square}}$$
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$$\pi = 4 * (Probability\ of\ being\ inside\ circle) = 4 * \frac{\\# Success}{\\# Trials} = 4 * \frac{A\_{circle}}{A\_{square}}$$
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## Implementation
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@ -90,11 +90,12 @@ class MonteCarloPi {
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BigInteger successes = BigInteger.ZERO;
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BigInteger trials = BigInteger.ZERO;
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</code></pre>
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```
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For this simulation, we will run 1,000,000,000 trials
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<pre class='language-java'><code class='language-java'> BigInteger numTrials = new BigInteger("1000000000");
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```java
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BigInteger numTrials = new BigInteger("1000000000");
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/*
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Monte Carlo Simulation
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Generate a random point 0 <= x < 1 and 0 <= y < 1
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@ -18,7 +18,7 @@ mf2_syndication:
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- 'a:1:{i:0;s:60:"https://twitter.com/B_RozekJournal/status/955308388384235521";}'
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kind:
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- article
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tags: ["Java"]
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tags: []
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---
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This article is based on one written by [Markus Konrad](https://datascience.blog.wzb.eu/author/markus_konrad/) at this link <a href='https://datascience.blog.wzb.eu/2016/07/13/autocorrecting-misspelled-words-in-python-using-hunspell/' target='_blank' >https://datascience.blog.wzb.eu/2016/07/13/autocorrecting-misspelled-words-in-python-using-hunspell/</a>
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