微积分I(标准路径) · free preview
§1.8 The tangent line approximation (continued)
可导函数 $y = f(x)$ 在点 $(a,f(a))$ 处的一般切线近似公式是什么?
1. Exercises (continued)
Exercises (continued)
2. Summary
Summary
3. Reading a linearization
A function has local linearization at . What are and ?
4. Curvature and approximation quality
Near , a shared tangent line approximates and , where and . Why does approximate better?
5. Estimating position from motion data
An object has position feet and velocity feet per second at seconds. The tangent line estimate of is
6. A potato temperature forecast
A potato satisfies degrees and degrees per minute. Use the tangent line at to estimate , rounded to three decimals.
7. Estimating with a declining linear model
With local linearization at , estimate , rounded to two decimals.
8. Concavity decides the error direction
If for and is the linearization of at , then overestimates .
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