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functions in rkutta.i - r
rk4
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y_at_x_plus_dx= rk4(y,dydx, x,dx, derivative)
takes a single 4th order Runge-Kutta step from X to X+DX.
DERIVATIVE(y,x) is a function returning dydx; the input DYDX
is DERIVATIVE(y,x) at the input (X,Y). This fourth evaluation
of DERIVATIVE must be performed by the caller of rk4.
interpreted function, defined at i/rkutta.i line 233
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rk_integrate
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y= rk_integrate(derivative, y1, x, epsilon, dx1)
integrates dydx= DERIVATIVE(y,x) beginning at (X(1),Y1) and
going to X(0) with fractional error EPSILON. The result is
the value of y at each value in the list X. If non-nil, DX1
will be used as initial guess for the first step size.
Otherwise, X(2)-X(1) will be the first step size guess.
The list of X values must be monotone -- strictly increasing
or strictly decreasing; the Runge-Kutta step sizes are selected
adaptively until the next X value would be passed, when the
step size is adjusted to complete the step exactly.
The external variable rk_maxits (default 10000) is the
maximum number of steps rk_integrate will take.
If a function rk_yscale(y,dydx,x,dx) exists, it is used
to compute an appropriate yscale to give the EPSILON error
criterion meaning. Otherwise, yscale is taken to be:
abs(y)+abs(dydx*dx)+1.e-30
Based on odeint from Numerical Recipes (Press, et.al.).
If the function you are trying to integrate is very
smooth, and your X values are fairly far apart, bs_integrate
may work better than rk_integrate.
interpreted function, defined at i/rkutta.i line 14
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SEE ALSO:
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rkutta,
bs_integrate,
rk_maxits,
rk_minstep,
rk_maxstep,
rk_ngood,
rk_nbad,
rkdumb,
rk4
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rk_nstore
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rk_nstore, rk_maxits, rk_minstep, rk_maxstep,
rk_ngood, rk_nbad
rk_nstore maximum number of y values rkutta (bstoer) will store
after rkutta (bstoer) call, rk_y and rk_x contain stored values
The other variables are inputs or outputs for rkutta, bstoer,
rk_integrate, or bs_integrate:
rk_maxits maximum number of steps (default 10000)
rk_minstep minimum step size (default 0.0)
rk_maxstep maximum step size (default 1.e35)
rk_ngood number of good steps taken
rk_nbad number of failed (but repaired) steps taken
keyword, defined at i/rkutta.i line 142
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rkdumb
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y_of_x= rkdumb(derivative, y0,x0, x1,nsteps)
integrates dydx= DERIVATIVE(y,x) beginning at (X0,Y0) and
going to X1 in NSTEPS 4th order Runge-Kutta steps. The
result is dimsof(Y0)-by-(NSTEPS+1) values of y at the points
span(X0, X1, NSTEPS+1).
If the nosave= keyword is non-zero, the returned value will
simply be the final y value.
interpreted function, defined at i/rkutta.i line 184
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rkqc
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rkqc
interpreted function, defined at i/rkutta.i line 205
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rkutta
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y1= rkutta(derivative, y0,x0, x1,epsilon, dx0)
integrates dydx= DERIVATIVE(y,x) beginning at (X0,Y0) and
going to X1 with fractional error EPSILON. The result is
the value of y at X1. DX0 will be used as the initial guess
for a step size.
If the external variable rk_nstore is >0, rk_y and rk_x
will contain up to rk_nstore intermediate values after the
call to rkutta. Consider using rk_integrate if you need
this feature; using rk_nstore gives you the results at
intermediate values which will tend to be closer where
the Runge-Kutta step size was smaller, while rk_integrate
forces you to specify precisely which x values you want.
The external variable rk_maxits (default 10000) is the
maximum number of steps rkutta will take. The variable
rk_minstep (default 0.0) is the minimum step size. The
variable rk_maxstep (default 1.e35) is the maximum step
size, which you may need if you are storing intermediate
values (particularly with bstoer).
If a function rk_yscale(y,dydx,x,dx) exists, it is used
to compute an appropriate yscale to give the EPSILON error
criterion meaning. Otherwise, yscale is taken to be:
abs(y)+abs(dydx*dx)+1.e-30
Based on odeint from Numerical Recipes (Press, et.al.).
If the function you are trying to integrate is very
smooth, bstoer will probably work better than rkutta.
interpreted function, defined at i/rkutta.i line 52
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SEE ALSO:
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rk_integrate,
bstoer,
rk_nstore,
rk_maxits,
rk_minstep,
rk_maxstep,
rk_ngood,
rk_nbad,
rkdumb,
rk4
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