Derek Driggs

6 papers and 43 indexed citations i.

Derek Driggs has authored 6 papers that have received a total of 43 indexed citations. This includes 4 papers in Computational Mechanics, 3 papers in Artificial Intelligence and 2 papers in Statistics and Probability. The topics of these papers are Sparse and Compressive Sensing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Derek Driggs is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Markov Chains and Monte Carlo Methods (2 papers) and collaborates with scholars based in United Kingdom, United States and China. Derek Driggs's co-authors include Jingwei Liang, Carola‐Bibiane Schönlieb, Lucien Brown, Keith Julien and Junqi Tang and has published in prestigious journals such as Journal of Fluid Mechanics, Mathematical Programming and SIAM Journal on Scientific Computing