I am trying to solve a rather large linear systems of equations of GF(3). As the matrices are sparse, I thought that adding "sparse=True" to the constructor of the matrix could be of help. However, I ran to a strange error message.
B=matrix(GF(3), 2,2,[1,0,1,0], sparse=True) v=vector(F, [1,1]) B.solve_right(v) The above code yields the following TypeError: Cannot convert sage.matrix.matrix_modn_sparse.Matrix_modn_sparse to sage.matrix.matrix_integer_sparse.Matrix_integer_sparse I am hesitant to paste the whole error message here, but it ends with reference to file SageMath/local/lib/python2.7/site-packages/sage/matrix/matrix_modn_sparse.pyx in sage.matrix.matrix_modn_sparse.Matrix_modn_sparse._solve_matrix_linbox (build/cythonized/sage/matrix/matrix_modn_sparse.cpp:11633). I am using Sage 8.9, but the same issue was on 8.7 as well. Few other observations: -- works as expected for dense matrices -- or for sparse ones over integers -- the same issue occurs whether y is a vector or a matrix -- It behaves the same for systems with no solution. Is there some hidden limitation of sparse matrices over finite fields? I.e., is it a bug or feature? :-) I tried to RTFM, but couldn't find this discussed. The page for sparse matrices over finite fields does not exactly promise the solve method, but it does not mention it would not work either. Is it possible to achieve what I want by other means (in Sage). Thanks. -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sage-support/e8912161-212e-4e6f-aa69-a7461b2f6c09%40googlegroups.com.
