types.backends.get_backend_default_method

types.backends.get_backend_default_method(backend, is_stochastic=False)

Get default integration method for backend.

Parameters

Name	Type	Description	Default
backend	Backend	Computational backend	required
is_stochastic	bool	Whether system is stochastic	`False`

Returns

Name	Type	Description
	str	Default method name for this backend

Examples

>>> get_backend_default_method('numpy', is_stochastic=False)
'RK45'
>>> get_backend_default_method('numpy', is_stochastic=True)
'EM'
>>> get_backend_default_method('torch', is_stochastic=True)
'euler'

# types.backends.get_backend_default_method { #cdesym.types.backends.get_backend_default_method }

```python
types.backends.get_backend_default_method(backend, is_stochastic=False)
```

Get default integration method for backend.

## Parameters {.doc-section .doc-section-parameters}

| Name          | Type    | Description                  | Default    |
|---------------|---------|------------------------------|------------|
| backend       | Backend | Computational backend        | _required_ |
| is_stochastic | bool    | Whether system is stochastic | `False`    |

## Returns {.doc-section .doc-section-returns}

| Name   | Type   | Description                          |
|--------|--------|--------------------------------------|
|        | str    | Default method name for this backend |

## Examples {.doc-section .doc-section-examples}

```python
>>> get_backend_default_method('numpy', is_stochastic=False)
'RK45'
>>> get_backend_default_method('numpy', is_stochastic=True)
'EM'
>>> get_backend_default_method('torch', is_stochastic=True)
'euler'
```