1 files changed, 0 insertions, 68 deletions
diff --git a/Windows/spice/examples/Monte_Carlo/MonteCarlo.sp b/Windows/spice/examples/Monte_Carlo/MonteCarlo.sp
deleted file mode 100644
index e079893f..00000000
--- a/Windows/spice/examples/Monte_Carlo/MonteCarlo.sp
+++ /dev/null
@@ -1,68 +0,0 @@
-* Effecting a Monte Carlo calculation in ngspice
-V1 N001 0 AC 1 DC 0
-R1 N002 N001 141
-*
-C1 OUT 0 1e-09
-L1 OUT 0 10e-06
-C2 N002 0 1e-09
-L2 N002 0 10e-06
-L3 N003 N002 40e-06
-C3 OUT N003 250e-12
-*
-R2 0 OUT 141
-.control
-  let mc_runs = 5
-  let run = 0
-  set curplot=new          $ create a new plot
-  set scratch=$curplot     $ store its name to 'scratch'
-  setplot $scratch         $ make 'scratch' the active plot
-  let bwh=unitvec(mc_runs) $ create a vector in plot 'scratch' to store bandwidth data
-
-* define distributions for random numbers:
-* unif: uniform distribution, deviation relativ to nominal value
-* aunif: uniform distribution, deviation absolut
-* gauss: Gaussian distribution, deviation relativ to nominal value
-* agauss: Gaussian distribution, deviation absolut
-* limit: if unif. distributed value >=0 then add +avar to nom, else -avar
-  define unif(nom, rvar) (nom + (nom*rvar) * sunif(0))
-  define aunif(nom, avar) (nom + avar * sunif(0))
-  define gauss(nom, rvar, sig) (nom + (nom*rvar)/sig * sgauss(0))
-  define agauss(nom, avar, sig) (nom + avar/sig * sgauss(0))
-*  define limit(nom, avar) (nom + ((sgauss(0) ge 0) ? avar : -avar))
-  define limit(nom, avar) (nom + ((sgauss(0) >= 0) ? avar : -avar))
-*
-*
-  dowhile run < mc_runs    $ loop starts here
-*
-*    alter c1 = unif(1e-09, 0.1)
-*    alter c1 = aunif(1e-09, 100e-12)
-*    alter c1 = gauss(1e-09, 0.1, 3)
-*    alter c1 = agauss(1e-09, 100e-12, 3)
-*
-    alter c1 = unif(1e-09, 0.1)
-    alter l1 = unif(10e-06, 0.1)
-    alter c2 = unif(1e-09, 0.1)
-    alter l2 = unif(10e-06, 0.1)
-    alter l3 = unif(40e-06, 0.1)
-    alter c3 = limit(250e-12, 25e-12)
-*
-    ac oct 100 250K 10Meg
-*
-* measure bandwidth at -10 dB
-    meas ac bw trig vdb(out) val=-10 rise=1 targ vdb(out) val=-10 fall=1
-*
-    set run = $&run             $ create a variable from the vector
-    set dt = $curplot           $ store the current plot to dt
-    setplot $scratch            $ make 'scratch' the active plot
-    let vout{$run}={$dt}.v(out) $ store the output vector to plot 'scratch'
-    let bwh[run]={$dt}.bw       $ store bw to vector bwh in plot 'scratch'
-    setplot $dt                 $ go back to the previous plot
-    let run = run + 1
-  end    $ loop ends here
-*
-  plot db({$scratch}.allv)
-  echo
-  print {$scratch}.bwh
-.endc
-
-.end