Interpolation is a method of constructing new data points within the range of a discrete set of known data points. Basically it's a way of estimating certain values, based on information that is already given.
What you are asking is not precisely clear, but in general missing data is filled in by a process of interpolation. eg. Linear interpolation is a method of curve fitting using linear polynomials to construct new data points within the range of a discrete set of known data points.
Interpolation is the process of estimating the value of some data and processing it in-line with other data obtained from another source. Extrapolation is the ability to estimate the value of something outside a known range from values within that range by assuming that the unknown quantity follows logically from an analysis of the known ones
interpolation is basically following a trend. it is needed because one cannot always get enough data to get to where u want to go. GPS units "interpolate" when they loose satellite reception which is why they appear to be tracking in tunnels.
Interpolation in general is a way to determine intermediate values from a set of coordinates. Linear interpolation would be to fit a single linear function to the entire set of coordinates. Piecewise linear interpolation would then be to determine intermediate values from the set of coordinates by fitting linear functions between each set of coordinates. Connect-the-dots so to speak.
Linear interpolation is used as a method used in mathematics of constructing a curve that has the best fit to a series of points of data using linear polynomials.
The process is called interpolation, which applies a computed formula of the line to a given x or y value. (More specifically, it is "linear interpolation".)
interpolation
Interpolation.
The noun interpolation (determine by comparison) has a normal plural, interpolations.
The interpolation factor is simply the ratio of the output rate to the input
interpolation theorem, discovered by Józef Marcinkiewicz
What you are asking is not precisely clear, but in general missing data is filled in by a process of interpolation. eg. Linear interpolation is a method of curve fitting using linear polynomials to construct new data points within the range of a discrete set of known data points.
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
Interpolation tries to predict where something should be based on previous data, movements or a theory.
spatial interpolation is used in cartography to obtain a 'best guess' value for missing vaues on a map
interpolation, because we are predicting from data in the range used to create the least-squares line.
Scholars associate the interpolation of tropes with the beginning of polyphonic music.