nonlinear relaxation timeergodic systemslinear relaxation time/ A0550 Lattice theory and statisticsIsing problems A0570J Critical point phenomena in thermodynamics A7510H Ising and other classical spin models (magnetism)It is shown by the example of kinetic Ising model with infinite-range forces that ...
The difference between nonlinear and linear is the “non.” OK, that sounds like a joke, but, honestly, that’s the easiest way to understand the difference. First, I’ll define what linear regression is, and then everything else must be nonlinear regression. I’ll include examples of bot...
By comparing the differences of the deflection and the torsion angle between the linear and nonlinear analysis, it was concluded that the nonlinearity seldom influenced the deflection whereas it could remarkably influence the torsion angle. In conclusion, the nonlinear impact must be considered in the...
linear equations will exist for all values of "x" and "y." Nonlinear equations, on the other hand, may not have solutions for certain values of "x" or "y." For instance, if y = sqrt(x), then "x" exists only from 0 and beyond, as does "y," because the square ...
The other difference between the linear and nonlinear circuit is solving the circuit. In the linear circuits, the solving of the circuit is a simple by using a simple technique, using a calculator to solve and by comparing with the non-linear circuit the linear circuit is easy to solve ...
doi:10.1080/10236190500489426MickensRonald E.Gordon and Breach Science Publishers SAJournal of Difference Equations & ApplicationsR. E. Mickens, A nonlinear nonstandard finite difference scheme for the linear time- dependent Schro¨dinger equation, J. Diff. Eq. Appl. 12 (2006), 313-320....
A note on linear differential equations with periodic coefficients We consider linear homogeneous differential equations of the form x = A ( t ) x where A ( t ) is a square matrix of C 1, real and T-periodic functions, wi... M Grau,D Peralta-Salas - 《Nonlinear Analysis Theory Methods...
Linear regression (also called simple regression) is one of the most common techniques ofregressionanalysis. Multiple regression is a broader class of regression analysis, which encompasses both linear and nonlinear regressions with multiple explanatory variables. ...
On some "Schwarzian" Equations and their Discrete Analogues Capel, Direct Linearization of Nonlinear Difference-Difference Equations, Phys. Lett. 97 A (1983), 125 - 128. G.R.W. Quispel, F.W. Nijhoff, H.W. Capel and J. van der Linden, Linear Integral Equations and Nonlinear Difference-....
M. Delfour, M. Fortin and G. Payre, Finite-difference solutions of a nonlinear Schro¨ dinger equation, J. Comput. Phys. 44 (1981), 277-288.M. Delfour, M. Fortin, and G. Payr, "Finite-difference solutions of a non-linear Schrodinger equation," J. Comput. Phys., vol. 44, pp....