“…In deconvolution, this causes small errors in data, especially in ( ) t q , to yield large variations (errors) in the deconvolved constant-rate response. To alleviate the problem, some deconvolution algorithms condition the deconvolved constant-rate response by using its expected behavior, such as strict monotonicity (Coats et al, 1964), non-positive second derivative (Kuchuk et. al., 1990), and non-negativity (Schroeter et al, 2004, andLevitan, 2003).…”