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Conjugate Gradient for Least Squares in CUDA
In the explanation of the parameters for the sparse version, it says:
ptr
: Column pointer if O is CSC or row pointer if O is CSR. The array should be of length m+1.
As far as I can understand, ptr
should be of length m+1 in the case of CSR, and _n_+1 in the case of CSC.
The documentation says that error code 1 means that "the vector b had norm less than eps, solution likely x = 0". According to the source code, this is not true. 1 is returned if norma(s) < epsilon; s = A^t(r); r = b - A(x); so the 1 would be returned if solution guess is very close to the right answer.
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