Nick Alger

According to our database, Nick Alger authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Point Spread Function Approximation of High-Rank Hessians with Locally Supported Nonnegative Integral Kernels.

Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas

SIAM J. Sci. Comput., 2024

2023

Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels.

Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas

CoRR, 2023

2020

Tensor Train Construction From Tensor Actions, With Application to Compression of Large High Order Derivative Tensors.

Nick Alger, Peng Chen, Omar Ghattas

SIAM J. Sci. Comput., 2020

Low Rank Saddle Free Newton: Algorithm and Analysis.

Thomas O'Leary-Roseberry, Nick Alger, Omar Ghattas

CoRR, 2020

2019

Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators.

Nick Alger, Vishwas Rao, Aaron Myers, Tan Bui-Thanh, Omar Ghattas

SIAM J. Sci. Comput., 2019

2017

A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems.

Nick Alger, Umberto Villa, Tan Bui-Thanh, Omar Ghattas

SIAM J. Sci. Comput., 2017