Proposes sBDCA with preconditioning for the LTS estimator, claiming up to 3.25 times faster runtime and up to 90% lower objective values than Fast-LTS on synthetic and real data.
Wiley Ency- clopedia of Operations Research and Management Science (2011) https://doi
2 Pith papers cite this work. Polarity classification is still indexing.
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Derives LSTs for total costs in LD-QBD processes, provides numerical algorithms and sensitivity analysis, and applies the framework to hospital multi-server queue models with admission policies using real data.
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Faster than Fast-LTS: Robust Regression and Outlier Detection with DC Programming
Proposes sBDCA with preconditioning for the LTS estimator, claiming up to 3.25 times faster runtime and up to 90% lower objective values than Fast-LTS on synthetic and real data.