27th Conference of the International Linear Algebra Society (ILAS 2026)

Nonlinear OED with Column Subset Selection

May 19, 2026, 4:35 PM

25m

Torgersen Hall 1030

Minisymposium Talk Inverse Problems and Uncertainty Quantification through the Lens of Numerical Linear Algebra Inverse Problems and Uncertainty Quantification through the Lens of Numerical Linear Algebra

Speaker

Amit Subrahmanya (Argonne National Laboratory)

Description

We address optimal sensor placement for Bayesian nonlinear inverse problems by formulating the task as a matrix column subset selection problem. The design matrix is derived from the expected information gain criterion. Although the resulting solutions are not necessarily globally optimal, the approach presents a rapid time to solution. The effectiveness of the method is demonstrated on nonlinear model problems.