updated convergence #s

Author: Michael Zingale

advection/tests/convergence_plot.py

@@ -4,18 +4,17 @@
 
 def plot_convergence():
 
-    data = numpy.loadtxt("advection_convergence.txt")
+    data = numpy.loadtxt("smooth-error.out")
 
     nx = data[:,0]
-    aerr_lim1 = data[:,1]
-    aerr_lim2 = data[:,3]
+    aerr = data[:,1]
 
     ax = pylab.subplot(111)
     ax.set_xscale('log')
     ax.set_yscale('log')
 
-    pylab.scatter(nx, aerr_lim2, marker="x", color="r")
-    pylab.plot(nx, aerr_lim2[0]*(nx[0]/nx)**2, "--", color="k")
+    pylab.scatter(nx, aerr, marker="x", color="r")
+    pylab.plot(nx, aerr[0]*(nx[0]/nx)**2, "--", color="k")
 
     pylab.xlabel("number of zones")
     pylab.ylabel("L2 norm of abs error")
@@ -27,7 +26,7 @@ def plot_convergence():
 
     pylab.xlim(8,256)
 
-    pylab.savefig("smooth_converge.png", bbox_inches="tight")
+    pylab.savefig("smooth_converge.eps", bbox_inches="tight")
 
 
 

incompressible/problems/converge.py

@@ -23,7 +23,7 @@
 import mesh.patch as patch
 from util import msg
 
-def init_ata(my_data, rp):
+def init_data(my_data, rp):
     """ initialize the incompressible converge problem """
 
     msg.bold("initializing the incompressible converge problem...")

incompressible/tests/convergence_plot.py

@@ -8,7 +8,6 @@ def plot_convergence():
 
     nx = data[:,0]
     errlim = data[:,1]
-    errnolim = data[:,3]
 
     ax = pylab.subplot(111)
     ax.set_xscale('log')
@@ -17,9 +16,6 @@ def plot_convergence():
     pylab.scatter(nx, errlim, marker="x", color="r", label="limiting")
     pylab.plot(nx, errlim[0]*(nx[0]/nx)**2, "--", color="k")
 
-    pylab.scatter(nx, errnolim, marker="x", color="b", label="no limiting")
-    pylab.plot(nx, errnolim[0]*(nx[0]/nx)**2, "--", color="k")
-
     pylab.xlabel("number of zones")
     pylab.ylabel("L2 norm of abs error")
 
@@ -31,12 +27,8 @@ def plot_convergence():
     pylab.xlim(16,256)
     pylab.ylim(2.e-4,5.e-2)
 
-    leg = pylab.legend()
-    leg.draw_frame(0)
-    ltext = leg.get_texts()
-    pylab.setp(ltext, fontsize='small')
-
     pylab.savefig("incomp_converge.png", bbox_inches="tight")
+    pylab.savefig("incomp_converge.eps", bbox_inches="tight")
 
 
 

incompressible/tests/incomp_converge.txt

@@ -1,9 +1,9 @@
 # convergence of incompressible converge problem
 # (convergence measured with analysis/incomp_converge_error.py)
 #
-#                 limiting                           nolimiting
- 32  0.0220739241002  0.0220739241002     0.0149125425126   0.0149125425126
- 64  0.00682161894998 0.00682161894998    0.00216262704768  0.00216262704768
-128  0.00214105266633 0.00214105266633    0.000363800908554 0.000363800908554
+ 32 0.0220739241002 0.0220739241002
+ 64 0.00682161894998 0.00682161894998
+128 0.00214105266633 0.00214105266633
+
 
 

multigrid/tests/mg_convergence.txt

@@ -1,11 +1,7 @@
-# convergence results from mg_test.py
-# 2012-10-19
-#
-#  nx             L2 norm wrt true solution
-
-  16                   4.06955e-4
-  32                   1.02427e-4
-  64                   2.56513e-5
- 128                   6.41563e-6
- 256                   1.60408e-6
+# nx  L2 norm wrt true solution (2014-06-11)
 
+16  0.000406955
+32  0.000102427
+64  2.56513e-05
+128 6.41563e-06
+256 1.60408e-06