Distribution system state estimation (DSSE) is a core task for monitoring and control of
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …

The canonical polyadic and rank-(L_r,L_r,1) block term decomposition (CPD and BTD,
respectively) are two closely related tensor decompositions. The CPD and, recently, BTD are …

We present structured data fusion (SDF) as a framework for the rapid prototy** of
knowledge discovery in one or more possibly incomplete data sets. In SDF, each data set …

Recent developments in optimization theory have extended some traditional algorithms for
least-squares optimization of real-valued functions (Gauss–Newton, Levenberg–Marquardt …

We derive and assess two new classes of regularizers that cope with offending
denominators in the single-reference second-order Møller–Plesset perturbation theory …

It has recently been shown that radio interferometric gain calibration can be expressed
succinctly in the language of complex optimization. In addition to providing an elegant …

The optimization of real scalar functions of quaternion variables, such as the mean square
error or array output power, underpins many practical applications. Solutions typically …

We give an overview of recent developments in numerical optimization-based computation
of tensor decompositions that have led to the release of Tensorlab 3.0 in March 2016 (www …

The paper proposes a new approach for the recovery of missing data from phasor
measurement units (PMUs). The approach is based on the application of tensor …

A systematic framework for the calculation of the derivatives of quaternion matrix functions
with respect to quaternion matrix variables is introduced. The proposed approach is …