The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis.

Tony F. Chan, Gene H. Golub, Randall J. LeVeque, Algorithms for Computing the Sample Variance: Analysis and Recommendations, The American Statistician, Vol. 37, No. 3 ...

The first part of this article presents the Monte Carlo implementation of the E step of the EM algorithm. Given the current guess to the maximizer of the posterior distribution, latent data patterns ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...