The nonlinear Riccati differential equation, since its enunciation by Jacopo Riccati in 1724, has become a legendary equation. Despite a 300-year search for a solution, it has not been possible to ...
Economists have developed different types of models describing the interaction of agents in markets. Early models in general equilibrium theory describe agents taking prices as given and do not ...
What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
1 Center for Signal Analysis of Complex Systems, Ansbach University of Applied Sciences, Ansbach, Germany 2 Institute of Mathematics, Julius-Maximilians-Universität, Würzburg, Germany A signal ...
Neural networks have been widely used to solve partial differential equations (PDEs) in different fields, such as biology, physics, and materials science. Although current research focuses on PDEs ...
Application of artificial intelligence (AI) features of nuclear morphology from BLASST-1 (Bladder Cancer Signal Seeking Trial) of nivolumab, gemcitabine, and cisplatin in patients with MIBC undergoing ...
Abstract: This paper introduces two novel methods for solving multi-order fractional differential equations using Bernstein polynomials. The first method, referred to as the fractional operational ...
1 Department of Thoracic Surgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China 2 Medical School of Chinese PLA, Beijing, China We address mathematical modelling of ...
The Cambridge equation, also known as the Cambridge cash-balance approach, is an economic theory that describes the demand for money as a function of income and the interest rate. The Cambridge ...
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