We present a new model for the distribution of free electrons in the Galaxy, the Magellanic
Clouds, and the intergalactic medium (IGM) that can be used to estimate distances to real or …

Network science provides a powerful tool for unraveling the complexities of social,
technological and biological systems. Constructing networks using wave phenomena is also …

We benchmark seven global optimization algorithms by comparing their performance on
challenging multidimensional test functions as well as a method of simulated moments …

Human dexterity far exceeds that of modern robots, despite a much slower neuromuscular
system. Understanding how this is accomplished may lead to improved robot control. The …

Global optimisation problems in high-dimensional and infinite-dimensional spaces arise in
various real-world applications such as engineering, economics and finance, geophysics …

Photonics has been widely explored in computing and communications, mainly to
rationalize the relationship between device size minimization and data processing …

The quantum approximate optimization algorithm (QAOA) is a quantum heuristic for
combinatorial optimization that has been demonstrated to scale better than state-of-the-art …

GEMSFITS is a new code package for fitting internally consistent input parameters of GEM
(Gibbs Energy Minimization) geochemical–thermodynamic models against various types of …

Objective of this paper is to test and compare different solution algorithms for solving
nonlinear freeway traffic control problems. The motivation of this work is related to the fact …

The development of efficient computational tools for data assimilation and analysis using
multi-parameter models is one of the major issues in systems immunology. The …