Numerical Solution mth Order Differential Equation System
The system of differential equations is linear, with possibly time-varying coefficient functions. The numerical solution is computed with the Runge-Kutta method.
odesolv(bwtlist, ystart=diag(rep(1,norder)), h0=width/100, hmin=width*1e-10, hmax=width*0.5, EPS=1e-4, MAXSTP=1000)
bwtlist |
a list whose members are functional parameter objects defining the weight functions for the linear differential equation. |
ystart |
a vector of initial values for the equations. These are the values at time 0 of the solution and its first m - 1 derivatives. |
h0 |
a positive initial step size. |
hmin |
the minimum allowable step size. |
hmax |
the maximum allowable step size. |
EPS |
a convergence criterion. |
MAXSTP |
the maximum number of steps allowed. |
This function is required to compute a set of solutions of an estimated linear differential equation in order compute a fit to the data that solves the equation. Such a fit will be a linear combinations of m independent solutions.
a named list of length 2 containing
tp |
a vector of time values at which the system is evaluated |
yp |
a matrix of variable values corresponding to |
#See the analyses of the lip data.
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