Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Astronomers from the Center of Astronomical and Space Education in Moscow report the discovery of a new star, which turned ...

A high-precision numerical adaptive method of integration of the systems of linear differential equations with time-varying coefficients is presented in the paper. The adaptability of the method lies ...

Some nonlinear systems can be represented through linear parameter varying models. In this work, we address the estimation of continuous-time linear parameter v ...

Nonlinear regression modeling is similar to linear regression modeling in that both seek to track a particular response from a set of variables graphically. Nonlinear models are more complicated ...

Step 2: Substitute this value of y in the other equation, and reduce it to an equation in one variable, i.e., in terms of x, which can be solved. Sometimes, as in Examples 9 and 10 below, you can ...

Abstract Non-linear partial differential equations have been increasingly used to model the price of options in the realistic market setting when transaction costs arising in the hedging of portfolios ...

Least squares regression equations The premise of a regression model is to examine the impact of one or more independent variables (in this case time spent writing an essay) on a dependent variable of ...

A one-step new general mesh free scheme, which is based on radial basis functions, is presented for a viscous wave equation with variable coefficients. By constructing a simple extended radial basis ...