Introduces structured matrix factorization length and X-factorization varieties, computes their dimensions for Toeplitz, Hankel, bidiagonal, tridiagonal, skew-symmetric, and companion matrices, and proposes displacement-rank lower bounds and alternating-minimization upper bounds.
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phcpy adds JupyterHub availability with multiple kernels and GPU parallelization for real-time and large-scale polynomial system solving.
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Solving Polynomial Systems with phcpy
phcpy adds JupyterHub availability with multiple kernels and GPU parallelization for real-time and large-scale polynomial system solving.