Interpolation is widely used in various fields, including computer graphics for rendering images and animations, data analysis for estimating missing values in datasets, and digital signal processing for reconstructing signals. It also plays a crucial role in numerical methods for solving differential equations and in geospatial analysis for estimating values at unknown locations based on known data points. Additionally, interpolation finds applications in finance for estimating future values and in engineering for designing systems based on sampled data.
The interpolation factor is simply the ratio of the output rate to the input
The noun interpolation (determine by comparison) has a normal plural, interpolations.
interpolation theorem, discovered by Józef Marcinkiewicz
Interpolation tries to predict where something should be based on previous data, movements or a theory.
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
interpolation, because we are predicting from data in the range used to create the least-squares line.
spatial interpolation is used in cartography to obtain a 'best guess' value for missing vaues on a map
The results are more reliable for interpolation .
Scholars associate the interpolation of tropes with the beginning of polyphonic music.
Because of what it does
Interpolation and Extrapolation
Interpolation