9 citations · 16 across the 5 of their papers we have counts for
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math.OC2024★ 1 cited
Stochastic Algorithms for Large-Scale Composite Optimization: the Case of Single-Shot X-FEL Imaging
D. Russell Luke, Steffen Schultze, Helmut Grubmüller
We apply a recently developed framework for analyzing the convergence of stochastic algorithms to the general problem of large-scale nonconvex composite optimization more generally…
math.OC2023
Convergence in Distribution of Randomized Algorithms: The Case of Partially Separable Optimization
D. Russell Luke
We present a Markov-chain analysis of blockwise-stochastic algorithms for solving partially block-separable optimization problems. Our main contributions to the extensive literatur…
math.OC2012★ 3 cited
Restricted normal cones and sparsity optimization with affine constraints
Heinz H. Bauschke, D. Russell Luke, Hung M. Phan +1
The problem of finding a vector with the fewest nonzero elements that satisfies an underdetermined system of linear equations is an NP-complete problem that is typically solved num…