## norm()


Compute the L2 (Euclidean) norm of a vector.


Usage


``` python
norm(vector)
```


Returns the magnitude of the input vector, computed as the square root of the sum of squared elements.


## Parameters


`vector: list`  
A list of numeric values representing a vector.


## Returns


`float`  
The L2 norm of the vector.


## Notes

Computes the L2 norm:

 \\x\\ = \sqrt{\sum\_{i=1}^{n} x_i^2} 

For a zero vector, the norm is 0.0. The computation uses floating-point arithmetic, so results may have small rounding errors for very large or very small values.


## Examples

``` python
>>> norm([3.0, 4.0])
```

5.0

``` python
>>> norm([1.0, 0.0, 0.0])
```

1.0