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

We propose a class of multiplicative algorithms for Nonnegative Matrix Factorization (NMF)
which are robust with respect to noise and outliers. To achieve this, we formulate a new …

A broad range of inverse problems can be abstracted into the problem of minimizing the sum
of several convex functions in a Hilbert space. We propose a proximal decomposition …

Much has been written on the theory and applications of iterative algorithms, so any book on
the subject must be but a glimpse. The topics included here are those most familiar to me …

A growing number of wind turbines are equipped with vibration measurement systems to
enable the close monitoring and early detection of developing fault conditions. The vibration …

In convex optimization, duality theory can sometimes lead to simpler solution methods than
those resulting from direct primal analysis. In this paper, this principle is applied to a class of …

Objectives The goal of this study was to identify the personal correlates (openness to
experience and implicit theories of ability) of internalization of aging stereotypes and its …

This article proposes a model to calculate the reliability function, and the mean residual
(remaining) life of a piece of equipment, when its degradation state is not directly …

We present the procedure for transforming delocalized molecular orbitals into the localized
property‐optimized orbitals (LPOs) designed for building the most accurate, in the Frobenius …

Iterative Optimization in Inverse Problems brings together a number of important iterative
algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent …