Sample generation

In order to run sample generation, we set the option main/mode to be sample_generation in the input file. In the example of examples/poisson/poisson.sample.yml,

main:
  mode: sample_generation
  use_rom: true
  solver: poisson

There are two types of sampling:

• base sample generator that samples over uniform grid points on parameter space
• random sample generator that randomly choose the parameter values over a uniform random distribution

In the example of examples/poisson/poisson.sample.yml, we use base sample generator, saving snapshots in the name of poisson0,

sample_generation:
  type: base
  file_path:
    prefix: "poisson0"

Specifying the list of parameters to be sampled

The list of parameters to be sampled is specified in the input file under sample_generation/parameter. In the example of examples/poisson/poisson.sample.yml, we sample over one parameter:

sample_generation:
  parameters:
    - key: single_run/poisson0/k
      type: double
      sample_size: 3
      minimum: 2.0
      maximum: 3.0

Random sampling