config.yaml

data_dir: 'May12'
random_seed: 1234

# Parameter for Approximation with Troubled Cell Detection
Approximation:
  schemes:
    Separation_Test:
      wave_speed: 1
      polynomial_degree: 2
      cfl_number: 0.2
      num_mesh_cells: 32    # 40 elements work well for Condition 3
      final_time: 1
      left_bound: -1
      right_bound: 1
      verbose: True

      #detector: 'Theoretical'
      detector: 'ArtificialNeuralNetwork'
      detector_config:
        fold_len: 16
        whisker_len: 3
        add_reconstructions: True
        model_state: 'Adam.model.pt'

      init_cond: 'Sine'
      init_config:
        factor: 4
        left_factor: 3

      limiter: 'ModifiedMinMod'
      limiter_config:
        mod_factor: 0
        erase_degree: 0

      quadrature: 'Gauss'
      quadrature_config:
        num_nodes: 12

      update_scheme: 'SSPRK3'
    Test_Run:
      detector: 'Theoretical'
    Boxplot_Test_3:
      detector: 'Boxplot'
      detector_config:
          fold_len: 16
      init_cond: 'FourPeakWave'
    Burgers_Test:
      equation: 'Burgers'
      detector: 'Theoretical'
      init_cond: 'DiscontinuousConstant'
    Burgers_Sine:
      equation: 'Burgers'
      detector: 'Boxplot'
      init_cond: 'Sine'

# Parameter for Training Data Generation
ANN_Data:
  sample_number: 100

  smooth_troubled_balance: 0.5

  stencil_length: 3
  add_reconstructions : True

  # Initial Conditions for Training Data
  functions:
    Sine:
      factor: 2
    Linear:
    Polynomial: