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Does the input to the Floating Point Matrix Inverse IP core require a square matrix as its inverse? I want to get a 12x12 inverse using the Cholesky decomposition by inputting a 12x200 matrix. Can this be done with the IP core?
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I don't think it is supported, based on the datasheet (https://www.altera.com/content/dam/altera-www/global/en_us/pdfs/literature/ug/ug_altfp_mfug.pdf) for the IP:
"DIMENSION: The number of rows in the matrix. As the matrix is square, this is also the number of columns in the matrix. The supported dimensions are 4 x 4, 6 x 6, 8 x 8, 16 x 16, 32 x 32, and 64 x 64." It seems to imply that a square matrix is required. And 200x12 is larger than the 64 maximum anyway. Besides, I wasn't aware you can find an inverse for a non-square matrix. Been quite some time since I did matrix stuff in detail, so I could quite easily be wrong on that.
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