Abstract: We present two novel memory-dense and fully parallel architectures for analog sparse matrix multiplication: one based on memristive nanowires, and the other based on 3D lithographic ...
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Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...
A linear algebra program for the TI-84 Plus CE graphing calculator. Matrix automates the mechanical parts of linear algebra, such as computing determinants, row reductions, inverses, Cramer's rule, ...
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