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- The trapezoidal rule is mostly used in the numerical analysis process.[1]
- The Trapezoidal Rule does not give accurate value as Simpson’s Rule when the underlying function is smooth.[1]
- and x=8 using Trapezoidal Rule with n = 4 subintervals.[1]
- using Trapezoidal Rule with n = 6 subintervals.[1]
- Example 7 Approximate the integral \(\int\limits_0^1 {{x^3}dx}\) using the Trapezoidal Rule with \(n = 2\) subintervals.[2]
- Example 8 Approximate the integral \(\int\limits_0^2 {{x^2}dx}\) using the Trapezoidal Rule with \(n = 3\) subintervals.[2]
- The trapezoidal rule for estimating definite integrals uses trapezoids rather than rectangles to approximate the area under a curve.[3]
- Before continuing, let’s make a few observations about the trapezoidal rule.[3]
- This leads us to hypothesize that, in general, the midpoint rule tends to be more accurate than the trapezoidal rule.[3]
- With the trapezoidal rule, we approximated the curve by using piecewise linear functions.[3]
- For the implicit trapezoidal rule for solving initial value problems, see Trapezoidal rule (differential equations) .[4]
- The trapezoidal rule may be viewed as the result obtained by averaging the left and right Riemann sums, and is sometimes defined this way.[4]
- trapezoidal rule is usually what is meant by "integrating with the trapezoidal rule".[4]
- The trapezoidal rule converges rapidly for periodic functions.[4]
- In the case of \(\alpha =-1\), this approach is the well known trapezoidal rule for numerical integration.[5]
- hence, the Trapezoidal rule gives exact value of the integral if the integrand is a linear function.[6]
- In Section 2, after introducing some basic formulas of the general (composite) trapezoidal rule and notations, we present our main result.[7]
- The trapezoidal rule is one method we can use to approximate the area under a function over a given interval.[8]
- If it’s difficult to find area exactly using an integral, we can use trapezoidal rule instead to estimate the integral.[8]
- The idea of the trapezoidal rule is to approximate a general curve by trapezoids, like this.[9]
- However, for very jagged functions, the trapezoidal rule can be more accurate.[9]
- The trapezoidal rule has often been referred to as being symmetric or time-reversible and is therefore good for Hamiltonian systems.[10]
- In this paper, we show that the trapezoidal rule preserves a symplectic structure different from the original one by O ( h 2 ).[10]
- The ideas in this paper also motivate us to apply Richardson's extrapolation to the trapezoidal rule.[10]
- Can I Use Trapezoidal Rule to Calculate an Improper Integral?[11]
- Trapezoidal Rule is mostly used for evaluating the area under the curves.[12]
소스
- ↑ 1.0 1.1 1.2 1.3 Trapezoidal Rule for Integration (Definition, Formula, and Examples)
- ↑ 2.0 2.1 Trapezoidal Rule
- ↑ 3.0 3.1 3.2 3.3 2.5: Numerical Integration - Midpoint, Trapezoid, Simpson's rule
- ↑ 4.0 4.1 4.2 4.3 Trapezoidal rule
- ↑ Trapezoidal rule and its error analysis for the Grünwald-Letnikov operator
- ↑ Trapezoidal Rule
- ↑ The Modified Trapezoidal Rule for Computing Hypersingular Integral on Interval
- ↑ 8.0 8.1 Trapezoidal rule to estimate area under the curve — Krista King Math
- ↑ 9.0 9.1 Demo on the Trapezoidal Rule and Simpson's Rule
- ↑ 10.0 10.1 10.2 A Symplectic Structure Preserved by the Trapezoidal Rule
- ↑ Trapezoidal Rule: Integration
- ↑ Trapezoidal Rule – Definition, Method, Rule, Solved Examples, and Important FAQs
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- [{'LOWER': 'trapezoidal'}, {'LEMMA': 'rule'}]