For this, you would need to copy the formula and references as many times as you want to repeat the process. In Excel, you can reference a cell that contains a formula and use its result in an identical formula in a different cell. This is made possible by computers that can run calculations repeatedly to find the likelihood of possible answers by getting closer to the results from different angles. Iterative calculations can help find the solution to mathematical problems by running calculations over and over using previous results.
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I'm just going to assume that Apple is porting (probably has always ported) all of macOS to ARM. Since everything is open source, it doesn't seem like much of a risk. Does anyone have any insight into what could be a disaster for Macs in higher education and industry if these environments are lost? If not, Apple may lose perhaps 10s of millions of potential users including faculty and students at universities. Will these environments still be available on ARM Macs. Applications like R are run by millions and of course there is Python. Further, increasingly applications are dockerized meaning the development switches to some extent to Docker and Kubernetes. These disciplines depend almost entirely on open source software that runs on UNIX/Linux. The problem is that Macs are used extensively in STEM, including data science and statistics. MAC OS devices are the top choice of business professionals because of their ease-of-use, greater efficiency and reliability, and a great interface. 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