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ommx.v1.ParametericInstance
and Instance.penalty_method
in Python SDK
#200
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Split from #200 Breaking change --------- - Rename `Instance::check_decision_variables` to `Instance::validate_decision_variable_ids` to make the objective clear. other changes -------------- - Create `Instance::validate` for checking all - Add `Instance::validate_constraint_ids` to check constraint ID duplication including removed constraints.
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… separate ABC class
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QUBO and PUBO output in Python SDK
ParametericInstance in Python SDK
Dec 12, 2024
termoshtt
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ParametericInstance in Python SDK
Dec 12, 2024
ommx.v1.ParametericInstance
and Instance.penalty_method
in Python SDK
Merged
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Roughly, the `Instance.penalty_method` introduced in #200 converts a constrained problem $$ \begin{align*} \min_x &f(x) & \\ \text{s.t.} &g_i(x) = 0 & (\forall i) \end{align*} $$ into an unconstrained parametric problem with parameters $\lambda_i$ $$ \min_x f(x) + \sum_i \lambda_i g_i(x)^2 $$ On this PR, `Instance.uniform_penalty_method` is introduced. This converts above into a single parameter unconstrained problem $$ \min_x f(x) + \lambda \sum_i g_i(x)^2 $$
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ommx.v1.ParametricInstance
,ommx.v1.Parameters
andommx.v1.Parameter
to Python SDK. They are introduced in ParametricInstance #146 in Rust SDK.Instance.penalty_method
to Python SDK, introduced inInstance::penalty_method
#174Instance.as_{pubo,qubo}_format
renamed in Rename toInstance::as_{pubo, qubo}_format
to emphasize the format change #202, introduced in QUBO and PUBO format output #186