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ivandrofly

double comparing (chatgpt)

Dec 10th, 2022 (edited)
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C# 1.96 KB | None | 0 0
  1. When comparing two double values for equality in C#, it is important to remember that floating-point numbers are not always exactly representable in binary, and may have a small error due to rounding. This means that two double values that are supposed to be equal may not be exactly equal due to this rounding error.
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  3. To account for this, it is generally recommended to use a tolerance value when comparing double values for equality. This allows you to specify how close the two values need to be in order to be considered equal, and allows for a small margin of error due to rounding.
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  5. Here is an example of how to use a tolerance value when comparing double values for equality in C#:
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  7. Copy code
  8. double x = 5.0;
  9. double y = 5.000000000000001;
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  11. // Set the tolerance value to 1e-14. This means that the two
  12. // values are considered equal if they differ by no more than
  13. // 1e-14 (0.000000000000001).
  14. double tolerance = 1e-14;
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  16. // Check if the difference between the two values is less than
  17. // or equal to the tolerance value.
  18. bool areEqual = Math.Abs(x - y) <= tolerance;
  19.  
  20. // Print the result to the console.
  21. Console.WriteLine(areEqual); // Output: True
  22. In this example, the double values x and y are supposed to be equal, but they differ by a very small amount due to rounding error. By using a tolerance value of 1e-14, we are able to determine that the two values are considered equal, because their difference is less than or equal to the tolerance value.
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  24. The value of the tolerance should be chosen based on the specific needs of your application. A smaller tolerance value will make the comparison more precise, but may also make it more likely for the two values to be considered unequal due to rounding error. A larger tolerance value will make the comparison less precise, but will also make it more likely for the two values to be considered equal. It is important to choose the tolerance value carefully to ensure that your comparison is both accurate and meaningful.
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