Explain why the statement is true, or give a counter-example: If we know that A is a square matrix and have its QR decomposition, then we can calculate the determinant of A as the product of the diagonal entries of R

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Explain why the statement is true, or give a counter-example:
If we know that A is a square matrix and have its QR decomposition, then we can
calculate the determinant of A as the product of the diagonal entries of R
Transcribed Image Text:Explain why the statement is true, or give a counter-example: If we know that A is a square matrix and have its QR decomposition, then we can calculate the determinant of A as the product of the diagonal entries of R
You measure the number of machine failures (y) at different days (t). At the days
t = (0, 1, 2, 3, 4). you get y = (0,1, 1, 2, 1)
a) Find and sketch the line of best t that comes closest to these measurements
b) You realise that there was a typo in your measurements. The correct measurements
at t = (0,1, 2, 3, 4) were y = (1,2, 3, 4, 5). Find and sketch the best t that comes
closest to the updated measurements
c) Compute the magnitude of the error vector for both the old and updated
measurements
Transcribed Image Text:You measure the number of machine failures (y) at different days (t). At the days t = (0, 1, 2, 3, 4). you get y = (0,1, 1, 2, 1) a) Find and sketch the line of best t that comes closest to these measurements b) You realise that there was a typo in your measurements. The correct measurements at t = (0,1, 2, 3, 4) were y = (1,2, 3, 4, 5). Find and sketch the best t that comes closest to the updated measurements c) Compute the magnitude of the error vector for both the old and updated measurements
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