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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: | 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: | rk_integrate,   
  bstoer,   
  rk_nstore,   
  rk_maxits, rk_minstep,   
  rk_maxstep,   
  rk_ngood,   
  rk_nbad,
 rkdumb,   
  rk4
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