verb to insert or introduce (something) between other things or parts; to estimate a value of a function between two known values
In mathematics, interpolation is used to estimate values between known data points.
In statistics, interpolation is used to estimate missing values in a dataset.
In engineering, interpolation is used to predict values based on known data points.
In computer science, interpolation is used in algorithms for data processing and image manipulation.
In geography, interpolation is used to create continuous surfaces from discrete data points.
In physics, interpolation is used to fill in gaps in experimental data.
In the field of writing, the term 'interpolate' may be used when referring to the act of inserting or introducing something new, such as additional information or a different perspective, into a piece of writing to enhance its overall meaning or impact.
Psychologists may use the term 'interpolate' when discussing the process of filling in missing data points or values in a set of observations or measurements using a mathematical or statistical method.
Data scientists may use 'interpolate' when referring to the technique of estimating unknown values in a dataset based on known values or trends, which can be useful for creating more complete and accurate analyses or visualizations.
Engineers may use 'interpolate' when describing the process of estimating values or parameters between known data points in order to create a smooth and continuous representation of a physical or mathematical system.
Financial analysts may use 'interpolate' when discussing the method of estimating future values or trends based on historical data points, which can help in making predictions or decisions related to investments or financial planning.