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Understand convergence issue for large Young moduli
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Description

There is a curious convergence problem that appeared first in 852b438f4941e6c017aa89c3ae9e3853f8b6ab66 in small_case.cc and small_case.py. With young moduli in the hundreds of GPa numerically expressed in Pa (i.e. E_1 = 210e9, E_2 = 70GPa), the conjugate gradient fails for system sizes larger than about 5 by 5.

Expressing the Moduli in GPa ( i.e. E_1 = 210., E_2 = 70) restores convergence. This is weird, since the solution (in terms of gradient) is identical.

It would be important to understand where the inaccuracy originates, and to warn users of the issue.

Ideally, we would be able to test automatically and raise and exception when we are in a non-convergent case

The probelm is µSpectre-specific: the python implementation does not have the same issue

Event Timeline

junge created this task.Jan 16 2018, 10:02
junge created this object in space S1 c4science.
junge changed the visibility from "Task Author" to "µSpectre (Project)".Jan 16 2018, 10:12
junge updated the task description. (Show Details)Jan 16 2018, 13:27
junge closed this task as Resolved.Jan 16 2018, 15:50
junge claimed this task.
junge moved this task from Backlog to Done on the µSpectre board.

Faulty convergence criterion in cg solver, see 294bc2e8f10e

junge changed the visibility from "µSpectre (Project)" to "Public (No Login Required)".Jan 31 2018, 13:02
junge changed the edit policy from "Task Author" to "µSpectre (Project)".