This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …

Optical imaging techniques are ubiquitous for the resolution of non-uniformities in gas flows.
Planar imaging techniques such as laser-induced fluorescence are well established and …

We improve a recent gurantee of Bach and Moulines on the linear convergence of SGD for
smooth and strongly convex objectives, reducing a quadratic dependence on the strong …

This revised and updated second edition–now with two new chapters-is the only book to
give a comprehensive overview of computer algorithms for image reconstruction. It covers …

Let T be a (possibly nonlinear) continuous operator on Hilbert space. If, for some starting
vector x, the orbit sequence {T kx, k= 0, 1,...} converges, then the limit z is a fixed point of T; …

The Kaczmarz method for solving linear systems of equations is an iterative algorithm that
has found many applications ranging from computer tomography to digital signal …

For solving large-scale systems of linear equations by iteration methods, we introduce an
effective probability criterion for selecting the working rows from the coefficient matrix and …

The multiple-sets split feasibility problem requires finding a point closest to a family of closed
convex sets in one space such that its image under a linear transformation will be closest to …

The block Kaczmarz method is an iterative scheme for solving overdetermined least-squares
problems. At each step, the algorithm projects the current iterate onto the solution space of a …

We present a randomized iterative algorithm that exponentially converges in the mean
square to the minimum \ell_2-norm least squares solution of a given linear system of …