Comments (1)
I think we need the concept of the "state" of the Kalman process. It might make sense to hold on to a reference to G
, and also to calculate G
when constructing the EKI
object (by default at least). Then the IterationSummary
/ StateSummary
is generated every time we advance to a new state.
from parameterestimocean.jl.
Related Issues (20)
- `computed_fields` for `SyntheticObservations` HOT 1
- Unintentional warning after each first-time step of any simulation? HOT 5
- We're not out of the naming woods yet HOT 5
- We need a separate docs repository HOT 2
- `BatchedInverseProblem` with asynchronous, device-aware `forward_map` + concatenation HOT 1
- Interface for `ParameterEstimation.jl` and `Optim.jl` or `BlackBoxOptim.jl` derivative-free optimization HOT 3
- Store pre-computed `inv(Γy)` and `inv(sqrt(Γy))` somewhere in `EnsembleKalmanInversions` object. HOT 3
- Should we register ParameterEstimocean in the Julia general registry? HOT 6
- `Bijectors.jl` for random variable transformations?
- TagBot trigger issue HOT 5
- Is this line redundant? HOT 3
- "Dependent parameters" feature for `FreeParameters` HOT 1
- More general failure criteria
- `incremental compilation` error HOT 1
- Duplicate method definition
- Use `.dataset` rather than `.field_time_serieses`? HOT 1
- Last face on `z`-grid should be `grid.zᵃᵃᶠ[grid.Nz+1]` HOT 8
- Missing import of `PseudoSteppingSchemes.adaptive_step_parameters`? HOT 11
- Separate components of EKI objective functional?
- problems adding the package HOT 1
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from parameterestimocean.jl.