quadratic interpolation - определение. Что такое quadratic interpolation
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Что (кто) такое quadratic interpolation - определение

METHOD FOR CONSTRUCTING NEW DATA POINTS BETWEEN KNOWN DATA POINTS
Interpolated; Interpolation function; Interpolate; Interpolation error; Interpolating; Quadratic interpolation; Interpolation formula; Interpolant; Interpolates
  • Plot of the data points as given in the table
  • Plot of the data with linear interpolation superimposed
  • Plot of the data with polynomial interpolation applied
  • Plot of the data with spline interpolation applied
  • Piecewise constant interpolation, or [[nearest-neighbor interpolation]]
  • spline curves]] deduced only from the red points. The interpolated curves have polynomial formulas much simpler than that of the original epitrochoid curve.

interpolate         
v. (D; tr.) to interpolate into
Interpolation         
·noun That which is introduced or inserted, especially something foreign or spurious.
II. Interpolation ·noun The act of introducing or inserting anything, especially that which is spurious or foreign.
III. Interpolation ·noun The method or operation of finding from a few given terms of a series, as of numbers or observations, other intermediate terms in conformity with the law of the series.
Interpolation         
A process used in getting a closer approximation to the truth from two varying observations, as of a galvanometer. The process varies for different cases, but amounts to determining an average or deducing a proportional reading from the discrepant observed ones.

Википедия

Interpolation

In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points.

In engineering and science, one often has a number of data points, obtained by sampling or experimentation, which represent the values of a function for a limited number of values of the independent variable. It is often required to interpolate; that is, estimate the value of that function for an intermediate value of the independent variable.

A closely related problem is the approximation of a complicated function by a simple function. Suppose the formula for some given function is known, but too complicated to evaluate efficiently. A few data points from the original function can be interpolated to produce a simpler function which is still fairly close to the original. The resulting gain in simplicity may outweigh the loss from interpolation error and give better performance in calculation process.