import issm.pairoptions
[docs]def jacobicgoptions(*args):
#ASMOPTIONS - return Additive Shwartz Method with Jacobi preconditioner petsc options
#
# Usage:
# options=jacobicgoptions;
#retrieve options provided in varargin
arguments=pairoptions.pairoptions(*args)
options=[['toolkit','petsc'],['mat_type','aij'],['ksp_type','cg'],['ksp_max_it',100],['ksp_rtol',1e-15]];
#now, go through our arguments, and write over default options.
for i in range(len(arguments.list)):
arg1=arguments.list[i][0]
arg2=arguments.list[i][1]
found=0;
for j in range(len(options)):
joption=options[j][0]
if joption==arg1:
joption[1]=arg2;
options[j]=joption;
found=1;
break
if not found:
#this option did not exist, add it:
options.append([arg1,arg2])
return options