Th3HoopMan
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Could anybody link me to some good examples on how to go about doing them? I honestly have no idea how to go about doing these two types of problems.
The discussion revolves around QR decomposition using Householder and Givens transformations, focusing on understanding the methods and their applications, particularly in solving regression problems.
Participants generally agree on the applicability of QR decomposition to regression problems, but there is no consensus on the specific examples or methods being sought.
The discussion lacks clarity on the specific examples or methods participants are interested in, and there are repeated requests for clarification on the original inquiry.
It's not clear what you are looking for here.Th3HoopMan said:Could anybody link me to some good examples on how to go about doing them? I honestly have no idea how to go about doing these two types of problems.
Examples of problems which can be solving using QRSteamKing said:It's not clear what you are looking for here.
Do you want to know how to develop QR decomposition using HH & Givens Transforms?
Or
Are you looking for examples of problems which can be solved using QR decomposition?
Just about any regression problem where the number of data points exceeds the degree of the curve being fitted.Th3HoopMan said:Examples of problems which can be solving using QR
Thank you!SteamKing said:Just about any regression problem where the number of data points exceeds the degree of the curve being fitted.
You use QR to find the minimum of the residuals in place of forming the normal equations.
Here is an example using linear least squares:
http://www.uta.edu/faculty/rcli/Teaching/math5392/NotesByHyvonen/lecture3.pdf
Note: actual problem starts on p. 11, but there is a good intro. in pp. 1-10.![]()