Accurate reporting of point source emissions of CO 2 is fundamental to addressing climate
change. Currently, bottom-up verification methods based on inventory statistics face …

In this paper, we present a brief survey of methods for solving nonlinear least-squares
problems. We pay specific attention to methods that take into account the special structure of …

A novel method for performing model updating on finite element models is presented. The
approach is particularly tailored to modal analyses of buildings, by which the lowest …

We present a model-based derivative-free method for optimization subject to general convex
constraints, which we assume are unrelaxable and accessed only through a projection …

We address the solution of constrained nonlinear systems by new linesearch quasi-Newton
methods. These methods are based on a proper use of the projection map onto the convex …

We address the problem of preconditioning a sequence of saddle point linear systems
arising in the solution of PDE-constrained optimal control problems via active-set Newton …

We address the solution of convex-constrained nonlinear systems of equations where the
Jacobian matrix is unavailable or its computation/storage is burdensome. In order to …

We propose several approximate Gauss–Newton methods, ie, the truncated, perturbed, and
truncated-perturbed GN methods, for solving underdetermined nonlinear least squares …

In this paper, we consider the problem of solving constrained systems of nonlinear
equations. We propose an algorithm based on a combination of Newton and conditional …

PDE-constrained optimization aims at finding optimal setups for partial differential equations
so that relevant quantities are minimized. Including nonsmooth L 1 sparsity promoting terms …