Conformal field theories have been long known to describe the fascinating universal physics
of scale invariant critical points. They describe continuous phase transitions in fluids …

The aim of this article is to give a survey of some basic theory of semi-infinite programming.
In particular, we discuss various approaches to derivations of duality, discretization, and first …

The presence of uncertainty in a system description has always been a critical issue in
control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain …

A semi-infinite programming problem is an optimization problem in which finitely many
variables appear in infinitely many constraints. This model naturally arises in an abundant …

This paper showcases the theoretical and numerical performance of the Sliding Frank–
Wolfe, which is a novel optimization algorithm to solve the BLASSO sparse spikes super …

A bstract We study a general class of functionals providing an analytic handle on the
conformal bootstrap equations in one dimension. We explicitly identify the extremal …

Going back to the groundbreaking works by Edgeworth (1881) and Pareto (1906), the notion
of optimality in multiobjective optimization is an efficient tool for describing optimal solutions …

A sequential quadratic programming (SQP) algorithm generating feasible iterates is
described and analyzed. What distinguishes this algorithm from previous feasible SQP …

In quantum metrology, one of the major applications of quantum technologies, the ultimate
precision of estimating an unknown parameter is often stated in terms of the Cram\'er-Rao …

With an emphasis on real-world problems, this book reviews the basics of optimization of
frame structures such as trusses, building frames, and long-span trusses. It introduces …