Computational Methods for Elastoplasticity: An Overview of Conventional and Less-Conventional Approaches

G Scalet, F Auricchio - Archives of Computational Methods in Engineering, 2018 - Springer
The need of accurately reproducing the behaviour of elastoplastic materials in
computational environments for the solution of engineering problems motivates the …

Scalable inference of ordinary differential equation models of biochemical processes

F Fröhlich, C Loos, J Hasenauer - Gene regulatory networks: methods and …, 2019 - Springer
Ordinary differential equation models have become a standard tool for the mechanistic
description of biochemical processes. If parameters are inferred from experimental data …

Eight-chain and full-network models and their modified versions for rubber hyperelasticity: a comparative study

M Hossain, A Amin, MN Kabir - Journal of the mechanical behavior of …, 2015 - degruyter.com
The eight-chain model, also known as Arruda-Boyce model, is widely used to capture the
rate-independent hyperelastic response of rubber-like materials. The parameters of this …

Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications

L Marini, B Morini, M Porcelli - Computational Optimization and …, 2018 - Springer
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 …

[HTML][HTML] Smart management of pressure regulating stations to maximize hydrogen injection in a gas distribution network

G Guzzo, M Francesconi, C Carcasci - International Journal of Hydrogen …, 2024 - Elsevier
Gas distribution networks traditionally maintain constant pressure setpoints at regulating
stations, ensuring a consistent supply to end-users with a high safety margin. However, the …

A new class of nonmonotone adaptive trust-region methods for nonlinear equations with box constraints

M Kimiaei - Calcolo, 2017 - Springer
A nonmonotone trust-region method for the solution of nonlinear systems of equations with
box constraints is considered. The method differs from existing trust-region methods both in …

An inexact projected LM type algorithm for solving convex constrained nonlinear equations

DS Gonçalves, MLN Gonçalves, FR Oliveira - Journal of Computational …, 2021 - Elsevier
In this paper, we propose two complementary variants of the projected Levenberg–
Marquardt (LM) algorithm for solving convex constrained nonlinear equations. Since the …

On the convergence of an inexact Gauss–Newton trust-region method for nonlinear least-squares problems with simple bounds

M Porcelli - Optimization Letters, 2013 - Springer
We introduce an inexact Gauss–Newton trust-region method for solving bound-constrained
nonlinear least-squares problems where, at each iteration, a trust-region subproblem is …

Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications

E Meli, B Morini, M Porcelli, C Sgattoni - Journal of Scientific Computing, 2022 - Springer
Spectral residual methods are derivative-free and low-cost per iteration procedures for
solving nonlinear systems of equations. They are generally coupled with a nonmonotone …

A new modular procedure for industrial plant simulations and its reliable implementation

C Carcasci, L Marini, B Morini, M Porcelli - Energy, 2016 - Elsevier
Modeling of industrial plants, and especially energy systems, has become increasingly
important in industrial engineering and the need for accurate information on their behavior …