Reprint

Numerical Analysis and Optimization

Edited by
June 2025
190 pages
  • ISBN 978-3-7258-4171-4 (Hardback)
  • ISBN 978-3-7258-4172-1 (PDF)

This is a Reprint of the Special Issue Numerical Analysis and Optimization that was published in

Computer Science & Mathematics
Summary

In the proposed reprint, readers will have the opportunity to explore contemporary numerical optimization methods that address a wide range of problems. Some of the topics covered include GNN and ZNN dynamic systems, differential evolution methods, inclusion models, multi-product and multi-criteria supply–demand network equilibrium models, and conjugate gradient and accelerated hybrid quasi-Newton approaches for determining optimal solutions to given problems, among others. The main objective of this reprint is to disseminate significant results from these areas, thereby contributing to the advancement of applied mathematics, particularly in the fields of numerical analysis and optimization.

Related Books

June 2023

Numerical and Evolutionary Optimization 2021

Computer Science & Mathematics
...
February 2025

Optimization Algorithms

Computer Science & Mathematics
February 2024

Optimization Models and Applications

Computer Science & Mathematics

The recommendations have been generated using an AI system.