odatse.algorithm.min_search module

class odatse.algorithm.min_search.Algorithm(info: Info, runner: Runner = None, domain=None, run_mode: str = 'initial', mpicomm: MPI.Comm | None = None)[source]

Bases: AlgorithmBase

Algorithm class for performing minimization using the Nelder-Mead method.

Initialize the Algorithm class.

Parameters:

info (Info) – Information object containing algorithm settings.
runner (Runner) – Runner object for submitting jobs.
domain – Domain object defining the search space.
run_mode (str) – Mode of running the algorithm.
mpicomm (MPI.Comm) – MPI communicator to use for parallelization. If not provided, the default MPI communicator (MPI.COMM_WORLD) will be used if mpi4py is installed.

__init__(info: Info, runner: Runner = None, domain=None, run_mode: str = 'initial', mpicomm: MPI.Comm | None = None) → None[source]

Initialize the Algorithm class.

Parameters:

info (Info) – Information object containing algorithm settings.
runner (Runner) – Runner object for submitting jobs.
domain – Domain object defining the search space.
run_mode (str) – Mode of running the algorithm.
mpicomm (MPI.Comm) – MPI communicator to use for parallelization. If not provided, the default MPI communicator (MPI.COMM_WORLD) will be used if mpi4py is installed.

_output_results()[source]: Output the results of the minimization to files.

_post()[source]: Post-process the results after minimization.

_prepare()[source]: Prepare the initial simplex for the Nelder-Mead algorithm.

_run() → None[source]: Run the minimization algorithm.