Using TNT-NN to unlock the fast full spatial inversion of large magnetic microscopy data setsJ. Myre, I. Lascu, E. Lima, J. Feinberg, M. Saar, B. Weiss2019 Peer-ReviewedEarth, Planets and Space 71 URLDOI: 10.1186/s40623-019-0988-8[Cite]View Abstract
TNT: A Solver for Large Dense Least-Squares Problems that Takes Conjugate Gradient from Bad in Theory, to Good in PracticeJ. Myre, E. Frahm, D. Lilja, M. Saar2018 Peer-Reviewed2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) URLDOI: 10.1109/ipdpsw.2018.00153[Cite]View Abstract
TNT-NN: A Fast Active Set Method for Solving Large Non-Negative Least Squares ProblemsJ. Myre, E. Frahm, D. Lilja, M. Saar2017 Peer-ReviewedProcedia Computer Science 108, 755-764 URLDOI: 10.1016/j.procs.2017.05.194[Cite]View Abstract
TNT: A Preconditioned Method for Applying Conjugate Gradient to Dense Least-Squares ProblemsMyre, J.M., Frahm, E., Lilja, D.J., Saar, M.O.2016Unknown Source[Cite]View Abstract
Thermal damping and retardation in karst conduitsA. Luhmann, M. Covington, J. Myre, M. Perne, S. Jones, E. Alexander Jr., M. Saar2015 Peer-ReviewedHydrology and Earth System Sciences 19, 137-157 URLDOI: 10.5194/hess-19-137-2015[Cite]View Abstract
