pwGetDefaultConfig

  config.optimization.asamin.limitAcceptances = 1000;
    ASA default 10000.
    The maximum number of states accepted before quitting. If set to 0, then no limit is observed.
  config.optimization.asamin.limitGenerated = 2000;
    ASA default 99999.
    The maximum number of states generated before quitting. If set to 0, then no limit is observed.
  config.optimization.asamin.limitInvalid = 1000;
    ASA default 1000.
    Limit of repetitive invalid generated states.
  config.optimization.asamin.acceptedToGeneratedRatio = 0.0001;
    ASA default 1e-6.
    The least ratio of accepted to generated states.
  config.optimization.asamin.costPrecision = 1e-018;
    ASA default 1e-18.
    Precision required of the cost function if exiting because of reaching maximumCostRepeat.
  config.optimization.asamin.maximumCostRepeat = 5;
    ASA default 5.
    Maximum number of times that the cost function repeats itself,
    within limits set by Cost_Precision, before quitting.
  config.optimization.asamin.numberCostSamples = 5;
    ASA default 5.
    When > 0, the initial cost temperature is calculated as the
    average of the absolute values of numberCostSamples sampled cost functions.
  config.optimization.asamin.temperatureRatioScale = 1e-005;
    ASA default 1e-5.
    Guide to the expected cost temperature of convergence
    within a small range of the global minimum.
  config.optimization.asamin.costParameterScale = 1;
    ASA default 1.
    Ratio of cost:parameter temperature annealing scales.
  config.optimization.asamin.temperatureAnnealScale = 100;
    ASA default 100.
    Guide to achieve the expected cost temperature sought by temperatureRatioScale
    within the limits expected by limitAcceptances.
  config.optimization.asamin.userInitialParameters = true;
    ASA default false.
    If true, then the first user's guess is used to calculate this first state,
    which is reasonable in PW.
  config.optimization.asamin.sequentialParameters = -1;
    ASA default -1.
    If > 0, some parameters will be adapted during optimization sequentially
    rather than simultaneously.
  config.optimization.asamin.initialParameterTemperature = 1;
    ASA default 1.
    The initial temperature for all parameters.
  config.optimization.asamin.acceptanceFrequencyModulus = 100;
    ASA default 100.
    Frequency of testing for periodic testing and reannealing,
    dependent on the number of accepted states.
  config.optimization.asamin.generatedFrequencyModulus = 10000;
    ASA default 10000.
    Frequency of testing for periodic testing and reannealing,
    dependent on the number of generated states.
  config.optimization.asamin.reannealCost = 1;
    ASA default 1.
    If 0, reannealing of the cost temperature is bypassed.
    If 1, default reannealing.
    Check ASA documentation for other values.
  config.optimization.asamin.reannealParameters = true;
    ASA default true.
    Permits reannealing of the parameter temperatures to be part of the fitting process.
    Set to false for systems with very large numbers of parameters
    to decrease the number of function calls.
  config.optimization.asamin.deltaX = 0.001;
    ASA default 0.001.
    Fractional increment of parameters used to take
    numerical derivatives when calculating tangents for reannealing.