American Institute of Physics

Modeling ice clouds as nonlinear oscillators

Applying a few simplifying assumptions and constructing a set of ordinary differential equations leads to a model that ...
Semiconductor Engineering

Parallel Implementation Of Nonlinear Functions Using An Optical Processor (UCLA)

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
IEEE

Using Radial Basis Function Neural Network With Weight Memory Mechanism: Nonlinear System Identification

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...
IEEE

Fixed-Time Distributed Consensus Optimization Control of High-Order Nonlinear Multi-Agent Systems via a Penalty-Function-Based Method

Abstract: This paper studies the distributed optimization problem of high-order multi-agent systems with unknown nonlinear terms and input saturation. Unlike existing results, nonlinear functions in ...
Forbes

A New Way Of Computing – Breakthroughs In Photonic And Quantum Operations

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI Deep learning and artificial intelligence continue to push ...
thetechedvocate.org

Activities to Teach Students to Identify Linear and Nonlinear Functions: Tables

Linear and nonlinear functions are the building blocks of algebra. They are essential to the understanding of graphs, equations, and the principles that govern the study of mathematics beyond the ...
Frontiers

A Free-Knot Spline Modeling Framework for Piecewise Linear Logistic Regression in Complex Samples with Body Mass Index and Mortality as an Example

This paper details the design, evaluation, and implementation of a framework for detecting and modeling non-linearity between a binary outcome and a continuous predictor variable adjusted for ...
Scientific Research Publishing

Adomian Decomposition Method with Green’s Function for Solving Tenth-Order Boundary Value Problems ()

In the beginning of the 1980’s, Adomian [1] -[4] proposed a new and fruitful method (hereafter called the Adomian Decomposition Method or ADM) for solving linear and nonlinear (algebraic, differential ...