Least squares/Related Articles: Difference between revisions
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imported>Daniel Mietchen m (Robot: Creating Related Articles subpage) |
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==Articles related by keyphrases (Bot populated)== | |||
{{r|Gauss (disambiguation)}} | |||
{{r|Carl Friedrich Gauss}} | |||
{{r|Weighted least squares}} | |||
{{r|Moving least squares}} | |||
Latest revision as of 16:00, 10 September 2024
- See also changes related to Least squares, or pages that link to Least squares or to this page or whose text contains "Least squares".
Parent topics
Subtopics
Bot-suggested topics
Auto-populated based on Special:WhatLinksHere/Least squares. Needs checking by a human.
- Approximation theory [r]: Field of mathematics that studies how to approximate functions by simpler functions and how good this approximation is. [e]
- Image registration [r]: The alignment of features in one image to corresponding features in a reference image. [e]
- Molecular Hamiltonian [r]: Quantum mechanical operator describing the energy associated with motions and interactions of the electrons and nuclei that constitute a molecule. [e]
- Moving least squares [r]: Method of reconstructing continuous functions from a set of unorganized point samples via the calculation of a weighted least squares measure biased towards the region around the point at which the reconstructed value is requested. [e]
- Weighted least squares [r]: Method when estimating the parameters of a model using independent observations whose values are known to vary in accuracy in a specified way. [e]
- Gauss (disambiguation) [r]: Add brief definition or description
- Carl Friedrich Gauss [r]: German mathematician, who was one of the most influential figures in the history of mathematics and mathematical physics (1777 – 1855). [e]
- Weighted least squares [r]: Method when estimating the parameters of a model using independent observations whose values are known to vary in accuracy in a specified way. [e]
- Moving least squares [r]: Method of reconstructing continuous functions from a set of unorganized point samples via the calculation of a weighted least squares measure biased towards the region around the point at which the reconstructed value is requested. [e]