In this work, we investigate the regularized solutions and their finite element to inverse source problems governed by partial differential equations, establish stochastic convergence optimal rates of these solutions, under pointwise measurement data with random noise.
Unlike most existing regularization theories, error estimates are derived without any conditions, while show explicit depende...