August 2004
Intermediate to advanced
656 pages
15h 28m
English
Content preview from Return on Software: Maximizing the Return on Your Software Investment
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Monte Carlo Analysis
The name Monte Carlo refers to the famous gambling resort in Monaco. The Monte Carlo analysis technique uses randomly generated combinations of the input variables (estimated factors) and runs them through the cost function to calculate the result under those conditions—much like “rolling the dice” at the casinos in Monte Carlo. This is repeated a large number of times, and then the statistical distribution of the outcomes is analyzed. To do this successfully, the statistical distribution (mean and variance, see Appendix E) of the estimates being input need to be known. Consider the Zymurgenics project from the previous chapter. The estimates are copied in Table 24.6.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.