Optimisation of the operation of water distribution systems has been an active research field
for almost half a century. It has focused mainly on optimal pump operation to minimise …

The target audience of this book are computer scientists, system architects, knowledge
engineers and programmers, who face a problem of combining various inputs into a single …

We consider the problem of minimizing the difference of two nonsmooth convex functions
over a simple convex set. To deal with this class of nonsmooth and nonconvex optimization …

We introduce a proximal bundle method for the numerical minimization of a nonsmooth
difference-of-convex (DC) function. Exploiting some classic ideas coming from cutting-plane …

The minimum sum-of-squares clustering problem is formulated as a problem of nonsmooth,
nonconvex optimization, and an algorithm for solving the former problem based on …

The aim of this paper is to introduce a new proximal double bundle method for
unconstrained nonsmooth optimization, where the objective function is presented as a …

We examine various methods for data clustering and data classification that are based on
the minimization of the so-called cluster function and its modications. These functions are …

In this paper, we develop a version of the bundle method to solve unconstrained difference
of convex (DC) programming problems. It is assumed that a DC representation of the …

We consider an application of fuzzy logic connectives to statistical regression. We replace
the standard least squares, least absolute deviation, and maximum likelihood criteria with an …

In this paper, we extend the concept of quasidifferential to a new notion called semi-
quasidifferential. This generalization is motivated by the convexificator notion. Some …