Corpus ID: 18117911

Fast Approximate Quadratic Programming for Large (Brain) Graph Matching

@article{Vogelstein2011FastAQ,
  title={Fast Approximate Quadratic Programming for Large (Brain) Graph Matching},
  author={Joshua T. Vogelstein and John M. Conroy and Vince Lyzinski and Louis J. Podrazik and Steven G. Kratzer and Eric T. Harley and Donniell E. Fishkind and R. Jacob Vogelstein and Carey E. Priebe},
  journal={arXiv: Optimization and Control},
  year={2011}
}
Quadratic assignment problems (QAPs) arise in a wide variety of domains, ranging from operations research to graph theory to computer vision to neuroscience. In the age of big data, graph valued data is becoming more prominent, and with it, a desire to run algorithms on ever larger graphs. Because QAP is NP-hard, exact algorithms are intractable. Approximate algorithms necessarily employ an accuracy/efficiency trade-off. We developed a fast approximate quadratic assignment algorithm (FAQ). FAQ… Expand
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