approximates a low-order derivative. This paper proposes the use of orthogonal projections
as regularization operators, eg, with the same null space as commonly used finite difference
operators. Applications to iterative and SVD-based methods for Tikhonov regularization are
described. Truncated iterative and SVD methods are also considered.