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Dynamic Network Energy Management via Proximal Message Passing
Network Energy Management Proximal Message Passing
2015/7/9
We consider a network of devices, such as generators, fixed loads, deferrable loads, and storage devices, each with its own dynamic constraints and objective, connected by AC and DC lines. The problem...
Security Constrained Optimal Power Flow via Proximal Message Passing
Constrained Optimal Power Flow Proximal Message Passing
2015/7/9
In this paper, we propose a distributed algorithm to solve the Security Constrained Optimal Power Flow (SC-OPF) Problem. We consider a network of devices, each with its own dynamic constraints and obj...
Message-Passing Estimation from Quantized Samples
analog-to-digital conversion approximate message passing belief propagation compressed sensing frames
2011/6/21
Estimation of a vector from quantized linear measurements
is a common problem for which simple linear techniques
are suboptimal—sometimes greatly so. This paper develops
generalized approximate mes...
Feedback Message Passing for Inference in Gaussian Graphical Models
Belief propagation feedback vertex set Gaussian graphical models graphs with cycles Markov random field
2011/6/17
While loopy belief propagation (LBP) performs reasonably well for inference in some Gaussian
graphical models with cycles, its performance is unsatisfactory for many others. In particular for some
m...
The dynamics of message passing on dense graphs,with applications to compressed sensing
message passing dense graphs compressed sensing
2010/3/9
Approximate message passing’ algorithms proved to be extremely effective in reconstructing
sparse signals from a small number of incoherent linear measurements. Extensive numerical
experiments furth...