Calculus without Plotting Graphs
Explore how to calculate precise rates of change using calculus without plotting graphs. Understand mathematical expressions for slopes and differentiation, key for building and optimizing neural networks in Python.
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Calculate slopes mathematically
We said earlier that calculus is about understanding how things change in a mathematically precise way. Let’s see if we can do that by applying this idea of ever smaller to the mathematical expressions that define these things.
To recap, speed is a function of the time we know to be . We want to know how the speed changes as a function of time. We’ve seen the slope of when it is plotted against .
This rate of change is the height divided by the extent of our constructed lines, but is where the gets infinitely small.
Its height is , as we saw before. This is just , where is a bit below and above the point of interest. That amount of bit is .
What is the extent? As we saw before, it’s simply the distance between and , which is .
So, we have:
Let’s expand and simplify that expression:
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