Nowadays, with the rapid development of computed tomography (CT), theoretical expansion CT reconstruction has become crucial ingredient to break through technical bottlenecks. This article supplements relevant knowledge method for constructing projection-wise filters. From perspective mathematical principle reconstruction, second-order divided-difference back projection (SDBP) technique is firs...

This paper presents a solution for efficiently and accurately solving separable least squares problems with multiple datasets. These involve determining linear parameters that are specific to each dataset while ensuring the nonlinear remain consistent across all A well-established approach such is variable projection algorithm introduced by Golub LeVeque, which effectively reduces problem its c...

Tree projections provide a unifying framework to deal with most structural decomposition methods of constraint satisfaction problems (CSPs). Within this framework, a CSP instance is decomposed into a number of sub-problems, called views, whose solutions are either already available or can be computed efficiently. The goal is to arrange portions of these views in a tree-like structure, called tr...