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Commit dc36cadb authored by Christophe Geuzaine's avatar Christophe Geuzaine
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use absolute path for res_opt

parent 66f0bcc3
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...@@ -151,9 +151,9 @@ while it <= maxIter and c.getString('shape/Action') != 'stop': ...@@ -151,9 +151,9 @@ while it <= maxIter and c.getString('shape/Action') != 'stop':
# get the value of the objective function and of the constraints # get the value of the objective function and of the constraints
# as well as their sensitivity with respect to design variables at `x' # as well as their sensitivity with respect to design variables at `x'
objective = np.sum(readSimpleTable('res_opt/w.txt')) objective = np.sum(readSimpleTable(c.getPath('res_opt/w.txt')))
constraints = np.array([np.sum(xFromMMA)/100.0-1.0]) constraints = np.array([np.sum(xFromMMA)/100.0-1.0])
grad_objective = np.asarray([np.sum(readSimpleTable('res_opt/Grad_w_wrt_dv_'+str(dv)+'.txt'))\ grad_objective = np.asarray([np.sum(readSimpleTable(c.getPath('res_opt/Grad_w_wrt_dv_'+str(dv)+'.txt')))\
for dv in xrange(numVariables)]) for dv in xrange(numVariables)])
grad_constraints = np.ones(numVariables)/100.0 grad_constraints = np.ones(numVariables)/100.0
......
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