Author: Ali Punjani; Haowei Zhang; David J. Fleet
Title: Non-uniform refinement: Adaptive regularization improves single particle cryo-EM reconstruction Document date: 2019_12_16
ID: bqwmx5dy_27
Snippet: In practice, for regularization parameter estimation, Equation 6 is solved on a discretized parameter space where a relatively simple discrete search method can be used (e.g., as opposed to continuous gradient-based optimization). The algorithm is implemented in Python within the cryoSPARC software platform [22] , with most of the computation implemented on GPU accelerators. An efficient solution to Eqn. 6 is important in practice because this su.....
Document: In practice, for regularization parameter estimation, Equation 6 is solved on a discretized parameter space where a relatively simple discrete search method can be used (e.g., as opposed to continuous gradient-based optimization). The algorithm is implemented in Python within the cryoSPARC software platform [22] , with most of the computation implemented on GPU accelerators. An efficient solution to Eqn. 6 is important in practice because this subproblem is solved twice for each iteration of a non-uniform refinement.
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