This mini-engineering project implements a 2D Poisson/anisotropic diffusion forward solver on a regular grid and an adjoint-state gradient for inverse coefficient (conductivity) estimation.

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

Abstract: We introduce a computationally efficient image reconstruction method that accelerates microwave tomographic imaging while maintaining the accuracy of traditional methods. The new method ...