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 relation between the Monte Carlo EM (MCEM) algorithm and the data augmentation algorithm is noted. Two modifications to the MCEM algorithm (the poor man's data augmentation algorithms), which ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

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 ...