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An interpolation value is a predicted or estimated value that lies between two known data points. It is calculated using mathematical methods such as linear interpolation or polynomial interpolation.
Calculating an error bound helps to determine the accuracy and reliability of the interpolation value. It provides a measure of how close the estimated value is to the actual value, allowing for a better understanding of the validity of the interpolation method used.
An error bound is typically calculated by finding the difference between the actual value and the estimated value, and then dividing it by the actual value. This gives a percentage or ratio that represents the error or deviation from the actual value.
No, the error bound of an interpolation value cannot be negative. It represents the magnitude of the error or deviation from the actual value, so it will always be a positive value.
There is no one standard formula for calculating an error bound for an interpolation value. The method used to calculate the error bound may vary depending on the type of interpolation and the specific data set being analyzed.