matlab matrix is singular to working precision
Friday, March 15, 2019 1:41:21 PM
Trinidad

. I'm not sure what the value means. The remainder of the boundary is insulated,with no heat flow in or out. Provide details and share your research! We cannot read your mind or the inside of your computer memory. Everything seems fine for me so far up until I try to take the inverse of the variable Kstruct.

Depending on the complexity of what you have done, this could literally take someone as long to debug as it took you to write the code. Not only is the fourth row resp. Also the first and third rows resp. Because we see only the code you use to create A, there is no chance that we could guess, if there is anything wrong. The created matrix A is singular or almost singular.

I need to find mahalanobis distance of two feature vectors to match fingerprint. What kind of help do you expect now? Really, someone would need to first, fully understand exactly how you are solving the problem, then wade through your code to see why it is not robust. Does anything disallow this result? The function should take the total number of intervals m along one vertical column as input. I think it occurs when the program tries to perform Gaussian elimination on the 44 by 44 matrix the program generates. So, write better code that is robust to such a problem? I am not sure what I am doing that is causing this error. Please note, that it is not possible in theorie to give a suggestion for an improvement based on failing code only. You end up with a singular matrix.

I have attached my code. The data corresponds to volatility series from banks. Fortunately, there is to catch the warning. Any help on this issue would be greatly appreciated. I am trying to calculate pairwise return connectedness and net directional connectedness via the evaluation of the proportions of the variation of the forecast errors in several places due to the shocks that arise elsewhere, via variance decompositions to comment. Further, rmdivide can deal with some singular matrix, therefore, this method is preferable.

Use MathJax to format equations. Any one of these duplications would make the matrix singular rank deficient. So, is there a way to identify when this warning will arise, thus I can use pinv instead? I cannot see the correlation between parts of the assignment text and you code, because the code is free of comments. To learn more, see our. As described in the comments: The issue is not matlab related, the matrix is really singular As are all matrices that contain a zero row or column.

If you are not expecting one then it implies something is wrong with your calculations or if it is a valid result that you can end up with a singular matrix you would need to apply tricks to make it non-singular, such as adding a small value to the leading diagonal. I double-checked the matrix and most of the entries are zero, but I don't think it can be singular since its main diagonal doesn't have any zero entries. Since the matrix is real symmetric, one might approach such cases by. Edit: Strangely, the error has changed after I switched to a smaller set of inputs. How could we fix an error, when all we have is the code, which produces the error? Could somebody guide me on what I am doing wrong? This produces the solution using Gaussian elimination, without explicitly forming the inverse. Although I could rewrite the solution from scratch and compare it with your code until I find the difference.

And the code contains so many modules ,that is why i was not able to copy it. The error is in line 43, the last one. It is suggested in that if the matrix C is singular, generalized inverse of C can be used to compute the Schur complement. But this would be your job, actually. The bar is two units long and one unit tall. Hello, I am working on state space design, and have read through all the trouble shooting advice on this website for the above error.

I will also attach the file if that is easier to see. Sounds like a problem that needs the domain knowledge of what you are doing rather than Matlab knowledge. I've looked over the lines 5 times and even rewrote it incase it was something I'm just ignoring by sight, but I'm still getting a singular matrix for my Kstruct. But in some cases the warning Matrix is singular to working precision can arise, which result in NaNs if rmdivide is used. I have downloaded the feature extraction module from this link: And i got singular feature vectors from this code.