3 papers
math.NA2026
Multi-type Sensor Placement for PDE-based Bayesian Inverse Problems
Steven Maio, Alen Alexanderian, Karina Koval +1
We address optimal placement of multi-type sensors for Bayesian inverse problems governed by partial differential equations (PDEs). The proposed framework allows for sensors with d…
math.OC2026
Submodularity of the expected information gain in infinite-dimensional linear inverse problems
Alen Alexanderian, Steven Maio
We consider infinite-dimensional linear Gaussian Bayesian inverse problems with uncorrelated measurement errors and focus on the problem of selecting sensor placements that maximiz…
math.OC2025
On submodularity of the expected information gain
Steven Maio, Alen Alexanderian
We consider finite-dimensional linear Gaussian Bayesian inverse problems with uncorrelated sensor measurements. In this setting, it is known that the expected information gain, qua…