Publications

Naomi Graham, Nicholas Richardson, Michael P. Friedlander, and Joel Saylor. Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization. Mathematical Geosciences, Feb. 2025. PDF code web tool

Michael L. Waite and Nicholas Richardson. Potential Vorticity Generation in Breaking Gravity Waves. Atmosphere, 14(5):881, 2023. PDF

Nicholas Richardson, Hayden Schaeffer, and Giang Tran. SRMD: Sparse Random Mode Decomposition. Communications on Applied Mathematics and Computation, 2023. PDF

Lam Si Tung Ho, Nicholas Richardson, and Giang Tran. Adaptive group Lasso neural network models for functions of few variables and time-dependent data. Sampling Theory, Signal Processing, and Data Analysis, 21(2):28, 2023.

Nicholas Richardson. A Sparse Random Feature Model for Signal Decomposition. UWSpace, 2022. (Master’s Thesis). link PDF

In progress

Joel Saylor, Nicholas Richardson, Naomi Graham, Robert Lee, and Michael P. Friedlander. Tracking cu-fertile sediment sources via multivariate petrochronological mixture modelling of detrital zircons. (in review).

Nicholas Richardson, Noah Marusenko, and Michael P. Friedlander. Multiple Scale Methods for Optimization of Discretized Continuous Functions. (in preparation).