Objective Functions (pysit.objective_functions)¶
Note
This section of the documentation is under construction. The source, however, is documented and you can access that via the Reference/API section.
Introduction¶
Objective functions are…
Getting Started¶
- Importing objective functions
- Instantiating objective functions
- Calling individual components, looping over shots
Using objective_functions¶
More details
Keyword Options and Special Return Values¶
- aux_info
Parallelism¶
- How to ensure parallelism over shots
Extending objective_functions¶
Define the required interface:
- evaluate
- compute_gradient
- apply_hessian
Parallelism¶
- How to write your extensions so that they are parallel over shots
Reference/API¶
pysit.objective_functions Package¶
Classes¶
FrequencyLeastSquares(solver[, …]) |
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HybridLeastSquares(solver[, …]) |
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ObjectiveFunctionBase(solver[, …]) |
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TemporalLeastSquares(solver[, …]) |
How to compute the parts of the objective you need to do optimization |