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This code implements a Matlab version of the benchmark in D. Aristoff and W. Bangerth, "A benchmark for the Bayesian inversion of coefficients in partial differential equations," arXiv:2102.07263.
This is a MATLAB function that computes an approximate (sparse) inverse of a sparse matrix. - GitHub
Approximate sparsity patterns for the inverse of a matrix and preconditioning, T. Huckle, Applied Numerical Mathematics 30 (1999) 291-303. A comparative study of sparse approximate inverse ...
We implement fixed-point matrix inversion on a Virtex-4 FPGA using a synthesizable QR-decomposition MATLAB model and the AccelDSP Synthesis tool. The resulting function occupies 12% of a XC4VSX55 ...
A recurring problem in feedback control theory is the determination of a system transfer function (as a Laplace transformed function of s), starting from a block diagram of the system. One commonly ...
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