A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...

Homogeneous catalysis is a type of catalysis in which the catalyst operates in the same phase as the reactants — usually dissolved in a solvent. Mechanistic studies of homogeneous catalysts are ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Vikki Velasquez is a researcher and writer ...

Service members who live in government housing and pay child support are eligible for Basic Allowance for Housing (BAH) Differential (table below). Service members who pay child support and live on ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Abstract: Stability theory of linear differential–difference system has been well-established, while fewer results can be found for nonlinear differential–difference systems. In this article, ...

An equation of the form \(y = mx + c\) where \(m\) and \(c\) are numbers, gives a straight line when values of \(x\) and corresponding values of \(y\) are plotted on a grid. A straight line is a ...

Abstract: Memristors with synaptic plasticity can act as changeable connection weights. To address the issue of no chaos in cyclic trineuron Hopfield neural network with resistive weights, a ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...

Act directly on irregularly-sampled partially-observed multivariate time series. May be trained with memory-efficient adjoint backpropagation - even across observations. Demonstrate state-of-the-art ...

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