lp:~simon-funke/dolfin-adjoint/multistage-optimisation
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- 540. By Simon Funke
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add a multigrid example that first solves the opt problem on the coarse mesh, projects the solution on the fine mesh and uses that as a starting guess for the optimistion problem on the fine mesh.
Even this simple approach is almost 4 times faster that solving the problem in the fine mesh only - 539. By Simon Funke
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Fix a bug in the steepest descent method where the incorrect line search step values were printed
- 533. By Simon Funke
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add an optional BC argument to the reduced functional object. These BC conditions are imposed
on all gradient and Hessian evaluations. This is useful in cases where the derivative at the boundary is known (e.g. its zero)
but due to numerical errors the computed gradient is not. Without enforcing the correct BC, these errors can add up in particular
in PDE constrained optimisation and can lead to significant errors at the boundary.
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