This paper develops a new algorithm for solving the general nonlinear programming problem that melds the flexible simplex search of Nelder and Mead with various additional rules to take care of ...

This is a preview. Log in through your library . Abstract The trust region approach has been extended to solving nonlinear constrained optimization. Most of these extensions consider only equality ...

Abstract: Modern advancements in hardware implementation of Deep Neural Networks (DNNs) have underscored the need for efficient and accurate nonlinear activation function approximations to reduce ...

This graduate-level course provides a comprehensive computational exploration of nonlinear dynamics and chaos with a special focus on their application to fluid mechanics. The first part of the course ...

This example solves a nonlinear system of equations by Newton's method. Let the nonlinear system be represented by ...

Abstract: An optical reconfigurable intelligent surface (ORIS) was expected to offer extra secrecy performance gain in a visible light communication (VLC) system. However, nonlinear impairments ...

This example illustrates the use of the MODEL procedure for nonlinear ordinary least-squares (OLS) regression. The model is a logistic growth curve for the population of the United States. The data is ...