Nick Alger

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 7

Top Topics

Blind Deconvolution

Tensor Decomposition

Top Venues

SIAM J. Sci. Comput.

Publications

Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas
Point Spread Function Approximation of High-Rank Hessians with Locally Supported Nonnegative Integral Kernels. SIAM J. Sci. Comput. 46 (3) (2024)
Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas
Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels. CoRR (2023)
Nick Alger, Peng Chen, Omar Ghattas
Tensor train construction from tensor actions, with application to compression of large high order derivative tensors. CoRR (2020)
Nick Alger, Peng Chen, Omar Ghattas
Tensor Train Construction From Tensor Actions, With Application to Compression of Large High Order Derivative Tensors. SIAM J. Sci. Comput. 42 (5) (2020)
Thomas O'Leary-Roseberry, Nick Alger, Omar Ghattas
Low Rank Saddle Free Newton: Algorithm and Analysis. CoRR (2020)
Nick Alger, Vishwas Rao, Aaron Myers, Tan Bui-Thanh, Omar Ghattas
Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators. SIAM J. Sci. Comput. 41 (4) (2019)
Nick Alger, Umberto Villa, Tan Bui-Thanh, Omar Ghattas
A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems. SIAM J. Sci. Comput. 39 (5) (2017)