Linear programming is a very well known and deeply applied field of optimization theory.
One of its most famous and used algorithms is the so called Simplex algorithm …

This work aims at reviewing the state of the art of the field of lexicographic multi/many-
objective optimization. The discussion starts with a review of the literature, emphasizing the …

Lipschitz global optimization is an important research field with numerous applications in
engineering, electronics, machine learning, optimal decision making, etc. In many of these …

This paper introduces a new class of optimization problems, called Mixed Pareto-
Lexicographic Multi-objective Optimization Problems (MPL-MOPs), to provide a suitable …

In this paper, we deal with the computation of Lie derivatives, which are required, for
example, in some numerical methods for the solution of differential equations. One common …

We tackle the problem of separating two finite sets of samples by means of a spherical
surface, focusing on the case where the center of the sphere is fixed. Such approach …

A transportation problem basically deals with the problem which aims to minimize the total
transportation cost or maximize the total transportation profit of distributing a product from a …

This article concerns the study of mixed Pareto-lexicographic multiobjective optimization
problems where the objectives must be partitioned in multiple priority levels (PLs). A PL is a …

We consider an iterative computation of negative curvature directions, in large-scale
unconstrained optimization frameworks, needed for ensuring the convergence toward …

Numerical computing is a key part of the traditional computer architecture. Almost all
traditional computers implement the IEEE 754-1985 binary floating point standard to …