Our algorithm is linear in the input size and the number of components $k$ up to a $\log(k)$ factor. This is essential for handling large-scale matrices that appear in practice. To the best of our knowledge this is the first such algorithm with global linear convergence. We hope that our results prompt further research and ultimately improve the practical running time for performing these important data analysis procedures on large data sets.
"I will miss a good guy, a good professional, a good influence in training - a very good influence."
29th Nov–1st Dec 2017
Deadline: 10th Oct 2017
Oxford University China Centre, Merton College and The Queen’s College are accepting applications for the Ancient Chinese Workshop with Professor Christoph Harbsmeier, which will be held on 29 November – 1 December 2017.
Lots of students and not only them struggle with that terrifying writer's block thing. It may strike you right before you even start writing or just in the middle of the writing process. There are also two reasons why students deal with those problems. Those students don't have knowledge on how to o...