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  1. The trapezoidal rule is mostly used in the numerical analysis process.[1]
  2. The Trapezoidal Rule does not give accurate value as Simpson’s Rule when the underlying function is smooth.[1]
  3. and x=8 using Trapezoidal Rule with n = 4 subintervals.[1]
  4. using Trapezoidal Rule with n = 6 subintervals.[1]
  5. Example 7 Approximate the integral \(\int\limits_0^1 {{x^3}dx}\) using the Trapezoidal Rule with \(n = 2\) subintervals.[2]
  6. Example 8 Approximate the integral \(\int\limits_0^2 {{x^2}dx}\) using the Trapezoidal Rule with \(n = 3\) subintervals.[2]
  7. The trapezoidal rule for estimating definite integrals uses trapezoids rather than rectangles to approximate the area under a curve.[3]
  8. Before continuing, let’s make a few observations about the trapezoidal rule.[3]
  9. This leads us to hypothesize that, in general, the midpoint rule tends to be more accurate than the trapezoidal rule.[3]
  10. With the trapezoidal rule, we approximated the curve by using piecewise linear functions.[3]
  11. For the implicit trapezoidal rule for solving initial value problems, see Trapezoidal rule (differential equations) .[4]
  12. 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]
  13. trapezoidal rule is usually what is meant by "integrating with the trapezoidal rule".[4]
  14. The trapezoidal rule converges rapidly for periodic functions.[4]
  15. In the case of \(\alpha =-1\), this approach is the well known trapezoidal rule for numerical integration.[5]
  16. hence, the Trapezoidal rule gives exact value of the integral if the integrand is a linear function.[6]
  17. In Section 2, after introducing some basic formulas of the general (composite) trapezoidal rule and notations, we present our main result.[7]
  18. The trapezoidal rule is one method we can use to approximate the area under a function over a given interval.[8]
  19. If it’s difficult to find area exactly using an integral, we can use trapezoidal rule instead to estimate the integral.[8]
  20. The idea of the trapezoidal rule is to approximate a general curve by trapezoids, like this.[9]
  21. However, for very jagged functions, the trapezoidal rule can be more accurate.[9]
  22. The trapezoidal rule has often been referred to as being symmetric or time-reversible and is therefore good for Hamiltonian systems.[10]
  23. In this paper, we show that the trapezoidal rule preserves a symplectic structure different from the original one by O ( h 2 ).[10]
  24. The ideas in this paper also motivate us to apply Richardson's extrapolation to the trapezoidal rule.[10]
  25. Can I Use Trapezoidal Rule to Calculate an Improper Integral?[11]
  26. Trapezoidal Rule is mostly used for evaluating the area under the curves.[12]

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  • [{'LOWER': 'trapezoidal'}, {'LEMMA': 'rule'}]