A function is called DC if it is expressible as the difference of two convex functions. In this
work, we present a short tutorial on difference-of-convex optimization surveying and …

Healthcare service centers must be sited in strategic locations that meet the immediate
needs of patients. The current situation due to the COVID-19 pandemic makes this problem …

This study tailors an efficient optimization procedure for multiple-leak identification in the
frequency domain. Firstly, the maximum likelihood estimation is adopted to build a multi …

We systematically describe the problem of simultaneous surrogate modeling of mixed
variables (ie, continuous, integer and categorical variables) in the Bayesian optimization …

Graph centrality measures have found widespread use ranking agents in networks by
characterizing their “importance” for the purpose of predicting and managing network …

We propose an algorithm which appears to be the first bridge between the fields of
conditional gradient methods and abs-smooth optimization. Our problem setting is motivated …

In this chapter some of the most important results for unconstrained and constrained
optimization problems are discussed. This chapter does not claim to cover all the aspects in …

We extend the sensitivity rank condition (SERC), which tests for identifiability of smooth input-
output systems, to a broader class of systems. Particularly, we build on our recently …

The motivation to study the behavior of limited-memory BFGS (L-BFGS) on nonsmooth
optimization problems is based on two empirical observations: the widespread success of L …

This work develops a mixed-integer incremental model to solve economic dispatch (ED) with
practical challenges of prohibited operating zones (POZs), transmission losses, and valve …