This week's new topic was taking what we knew from derivatives and optimization, but now finding rates of how parts and pieces change throughout a problem. I was expecting this lesson to be a harder than last week's but once you were able to understand the problem well, it turned out to be as tough as last week, a little easier even. I think what helped through this was that there were actual drawn out steps that worked to complete each problem. I think the hardest part of these problems was figuring out what equation to use. Once you were able to find the equation, the rest was easy because all you have to do is take the derivative and plug in what you have. The thing you had to keep in mind was using implicit differentiation with variable that were changing. All in all, I thought this week was pretty simple. The abstract problems were what made it a little tough, especially ones that consisted of a shadow, in the picture shown. After thinking about these kind of problems for a while they turned out to be not so bad. The trick for many of these was to just use similar triangles which helped you so the small amount of information that came with the variable would not complicate anything.
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## Haley FoxJust a high schooler trying to learn and blog. ## Archives
March 2017
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