If you use Excel to model businesses, business processes, or business transactions, this course will change your life. You’ll learn how to create tools for yourself that will amaze even you. Unrestricted use of this material is available in two ways.
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Implementation | 2/4 Session Links |
A common question is “How do I know how to break up the problem? Is there only one way to do the analysis?” The answer is that breaking up a problem is an art, and there is usually more than one way to do it. The art of picking a good way takes a while to learn.
Often you want to break up the problem along one set of boundaries for one purpose and along another set for another purpose. You might want this if the calculations you’re making are especially easy if the problem is analyzed in a certain way. So there is often no single right answer to the analysis question.
Array arithmetic in Excel is one of its more powerful capabilities. It’s a way of doing computations on whole ranges of cells at once, rather than cell-by-cell as most spreadsheet users do them. It takes a bit of effort to grasp it, but once you have it you’ll feel pretty good about it. We’ll see several examples of its use in this session and the next one.
The photo shows a prism decomposing (analyzing) white light into its component colors.
Last Modified: Wednesday, 27-Apr-2016 04:15:26 EDT
For many of you, matrix multiplication and array arithmetic are new ideas. It’s easy to get lost in the details of how they work and then forget about why we use them.
To keep a clear view of the forest and avoid focusing only on the trees, remember why we use matrix multiplication and array arithmetic. Briefly, we use them because we find that it’s very often helpful to decompose a problem into parts (analysis), then do calculations on the parts, and finally reassemble the final solution from the results of those partial calculations (synthesis).
Matrix multiplication and array arithmetic provide us with very convenient methods for performing those intermediate calculations on the parts. They’re the tools that make analysis and synthesis so powerful.