locally-convex-spaces

This paper extends Topological DeepONets to handle functional measurements on Hausdorff locally convex spaces, replacing point samples with continuous linear functionals and introducing fixed and adaptive measurement systems. The framework is validated on several benchmarks including a non-normable input space, and demonstrates compact, discretization-portable coordinates for operator learning.