herclau

Mr. Hermes Rozsa Iglesias

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20 years, 170 days

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These are replies submitted by herclau

@acer 

The document in the link explains how to use SVD. It's just a method to factor a matrix A into a product of three matrices A = USVT where U and V are orthogonal matrices and S is diagonal. It is useful in solving the least squares normal equation ATAx= ATb for x by avoiding the matrix multiplications of ATA and ATb. The steps are listed in the document. In the end, you can solve for x as follows:

x = VS-1UTb

The formula we use was not found in the documents I consulted in the use of SVD for least squares adjustments. I'd like guidance on this issue with some link where I can read about it. Or please to tell me something about it
Thank you very much for your response.

How to improve the code so that the solutions implemented are similar to command LeastSquares (a, b, method = SVD)?

 

 

How to improve the code so that the solutions implemented are similar to command LeastSquares (a, b, method = SVD)?

 

 



Thanks Eric Postma:

the result of the procedures that I get is that I show. is this expected?.

(1)

(2)



Download FactorVectors3.mw

@epostma

 

 

 



Thanks Eric Postma:

the result of the procedures that I get is that I show. is this expected?.

(1)

(2)



Download FactorVectors3.mw

@epostma

 

 

 



Thanks Eric Postma:

With your procedures achieves the goal.

(1)

(2)

(3)

I would like to present to the result as a true factorization. Using your last statement is not achieving the target.
Any other ideas?

 

(4)

(5)

(6)



Download FactorVectors2.mw



Thanks Eric Postma:

With your procedures achieves the goal.

(1)

(2)

(3)

I would like to present to the result as a true factorization. Using your last statement is not achieving the target.
Any other ideas?

 

(4)

(5)

(6)



Download FactorVectors2.mw

Johan thanks for your response, I'm still depressed.

Apparently I have forgotten a step, by following the instructions, the results improve somewhat but are not expected.



(1)



Download SVD_Slistproblem2.mw

 

Gracias

 

 

Johan thanks for your response, I'm still depressed.

Apparently I have forgotten a step, by following the instructions, the results improve somewhat but are not expected.



(1)



Download SVD_Slistproblem2.mw

 

Gracias

 

 

What is the difference between full SVD and thin SVD?
Are obtained in the same way the coefficients?
How to calculate the uncertainty of coefficients?

Gracias

Thanks, Scott03
It worked.

Gracias

Thanks, Scott03
It worked.

Gracias

Robert,
I thought of something like the background = p 
option of the command: ?plots[animate]

Gracias
Robert,
I thought of something like the background = p 
option of the command: ?plots[animate]

Gracias
Robert,
There is an option in the package backgroung plots?
 Thank you very much again Gracias
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