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Domain Name: INTERPOLATES.COM
Registry Domain ID: 2881061772_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.cloudflare.com
Registrar URL: http://www.cloudflare.com
Updated Date: 2024-05-13T19:27:21Z
Creation Date: 2024-05-13T19:27:18Z
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Domain Name: INTERPOLATES.COM
Registry Domain ID: 2881061772_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.cloudflare.com
Registrar URL: https://www.cloudflare.com
Updated Date: 2024-05-20T08:11:22Z
Creation Date: 2024-05-13T19:27:18Z
Registrar Registration Expiration Date: 2025-05-13T19:27:18Z
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Registrar IANA ID: 1910
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Name Server: maxim.ns.cloudflare.com
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Brief facts about interpolates:

In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing 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.

Barycentric coordinates – for interpolating within on a triangle or tetrahedron.

Brahmagupta's interpolation formula - Brahmagupata's interpolation formula is a second-order polynomial interpolation formula developed by the Indian mathematician and astronomer Brahmagupta in the early 7th century CE. The Sanskrit couplet describing the formula can be found in the supplementary part of Khandakadyaka a work of...

Imputation (statistics) - In statistics, imputation is the process of replacing missing data with substituted values. When substituting for a data point, it is known as "unit imputation"; when substituting for a component of a data point, it is known as "item imputation".

Lagrange interpolation - In numerical analysis, Lagrange polynomials are used for polynomial interpolation. For a given set of points with no two x_j values equal, the Lagrange polynomial is the polynomial of lowest degree that assumes at each value x_j the corresponding value y_j.

Missing data - In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common occurrence and can have a significant effect on the conclusions that can be drawn from the data.

Radial basis function interpolation - Radial basis function interpolation is an advanced method in approximation theory for constructing high-order accurate interpolants of unstructured data, possibly in high-dimensional spaces. The interpolant takes the form of a weighted sum of radial basis functions.

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