This article gives an overview of microstructure imaging of the brain with diffusion MRI and
reviews the state of the art. The microstructure‐imaging paradigm aims to estimate and map …

This paper addresses the solution of bound-constrained optimization problems using
algorithms that require only the availability of objective function values but no derivative …

We describe and benchmark a new quantum charge-coupled device (QCCD) trapped-ion
quantum computer based on a linear trap with periodic boundary conditions, which …

The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm
for solving optimization problems on quantum computers. However, the potential of QAOA to …

We present, a general-purpose Bayesian analysis code aimed at models with complex
internal interdependencies. Without the need for specific code by the user …

In many optimization problems arising from scientific, engineering and artificial intelligence
applications, objective and constraint functions are available only as the output of a black …

Current cosmological data exhibit a tension between inferences of the Hubble constant, H 0,
derived from early and late-Universe measurements. One proposed solution is to introduce …

In this introductory chapter, we present a high-level description of optimization, blackbox
optimization, and derivative-free optimization. We introduce some basic optimization …

To date, the only Neandertal genome that has been sequenced to high quality is from an
individual found in Southern Siberia. We sequenced the genome of a female Neandertal …

Parameter tuning, that is, to find appropriate parameter settings (or configurations) of
algorithms so that their performance is optimized, is an important task in the development …