微积分I(标准路径) · 免费预览
§5.6 Numerical integration
当被积函数不存在初等代数原函数,因而无法使用微积分第一基本定理时,我们如何准确计算诸如 $\int_0^1 e^{-x^2} \, dx$ 这样的定积分?是否有一些方法可以在黎曼和中不使用极大的 $n$ 值的情况下得到精确的估计?
1. Introduction
Introduction
2. The Trapezoid Rule
The Trapezoid Rule
3. Comparing the Midpoint and Trapezoid Rules
Comparing the Midpoint and Trapezoid Rules
4. Simpson's Rule
Simpson's Rule
5. Trapezoid versus midpoint on a concave up curve
For on , which is concave up, the trapezoid and midpoint rules satisfy
6. Left sum for an increasing parabola
For with three equal subintervals, the left endpoint sum equals
7. Simpson's blend
Simpson's rule combines the midpoint and trapezoid estimates on matching subintervals as
8. Errors read off a table
With exact value and computed values and , the errors and are
9. Which integral measures the distance
A braking car's velocity is positive throughout . The exact distance traveled is given by
10. The sharpest estimate and its meaning
With feet as the best distance estimate on , the best average velocity estimate is
11. Trapezoid distance from car data
A braking car's velocity table with three panels gives feet and feet. Compute the trapezoid estimate in feet.
12. Simpson distance estimate
With feet and feet for the braking car, compute Simpson's estimate in feet.
13. The exact benchmark
By the First FTC, evaluate as a decimal.
14. Average velocity from Simpson
Using the Simpson distance estimate feet over seconds, compute the average velocity, rounded to two decimals.
15. Midpoint direction under concavity
For the braking car whose velocity graph is concave down, the midpoint estimate feet is an overestimate of the true distance.