Linked from

The 18 pages that link to Interpolation, each with the reason it gives.

• Finite element methodRelated: Nodal interpolation is a common way to define the element-level approximation.

• Raster graphicsRelated: Resampling uses interpolation to estimate colors for newly positioned pixels.

• Computer animationRelated: Animation software uses it to calculate changing positions, rotations, and shapes between keyframes.

• Digital elevation modelRelated: Elevation grids often estimate heights between surveyed or measured points.

• Calibration curveRelated: Unknowns within the standards' range are estimated from the fitted curve.

• Rational approximationNarrower topic: Many rational approximants are defined by matching given function values exactly.

• Image reconstructionCompared with: Interpolation fills gaps within sampled image data, unlike reconstruction from a sensing model.

• Slide ruleRelated: Fine results often depend on estimating positions between printed graduations.

• Instrumental temperature recordRelated: Spatial gaps require estimates when calculating broad-area averages.

• Linear functionRelated: A line through data points supplies estimates between measured inputs.

• Astronomical tablesRelated: Interpolation supplies positions for dates that fall between the table’s listed entries.

• ExtrapolationCompared with: It estimates between observations, where extrapolation extends beyond them.

• Isarithmic mapRelated: Interpolation supplies the unmapped values needed to draw continuous contours or bands.

• Line chartRelated: Connecting points visually suggests intermediate values, though the chart alone does not establish them.

• Adaptive mesh refinementRelated: Values must be transferred between coarse and fine mesh levels.

• Image scannerRelated: Scanner software can enlarge an image by estimating pixels beyond the optical samples.

• John WallisRelated: Wallis extended patterns in integer powers to fractional exponents to obtain new results.

• Function of a real variableRelated: It uses known samples to define or estimate a function between them.