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Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows., , and . CDC, page 4571-4578. IEEE, (2015)Efficient Learning of Discrete Graphical Models., , and . CoRR, (2019)Optimal Power Flow with Weighted Chance Constraints and General Policies for Generation Control., , , and . CoRR, (2015)Diffusion in Random Networks: Impact of Degree Distribution., , and . NetEcon@SIGMETRICS, page 7:1. ACM, (2018)Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays., , , and . J. Sel. Topics Signal Processing, 2 (3): 275-285 (2008)A Note on Alternating Minimization Algorithm for the Matrix Completion Problem., and . CoRR, (2016)Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows., , , , and . CoRR, (2017)Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach., , , and . CoRR, (2015)Sparse measurements, compressed sampling, and DNA microarrays., , , and . ICASSP, page 581-584. IEEE, (2008)Optimal compression in natural gas networks: a geometric programming approach., , , , , and . CoRR, (2013)