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Given a gradient of a function, ##\vec \nabla f##, and a vector ##\vec v##, the dot product, ##\vec \nabla f \cdot \vec v##, is the directional derivative of ##f## in ##\vec v##.
You could be right. But presumably it depends upon what is classified as intuitive/simple.Aurelius120 said:I could be wrong. But don't all intuitive examples involving both physics and dot product that are also simple, involve forces?
Suppose a company sells five different products, call them A, B, C, D, and E. Suppose also that during a month, there were, respectively 25, 30, 15, 20, and 40 units sold, with per-unit revenues of $100, $120, $85, $140, and $135.NoahsArk said:I meant some kind of word problem example using a specific real world application to illustrate how the dot product works.
There must be a parable that covers your situation. Mathematics is a mountain. You have to start climbing to make progress. You can only sit at the bottom looking up for so long. You must have made a decision at some point to attempt this mountain, so you ought to get on with it.NoahsArk said:I meant some kind of word problem example using a specific real world application to illustrate how the dot product works.