ExInterval implements the interval type and range operations on the type, with rounded directed intervals, recognize the input as strings and performs operations between intervals.
Using intervals for the representation of real numbers, it is possible to control the error propagation of rounding or truncation, between others, in numerical computational procedures.
If available in Hex, the package can be installed
by adding ex_interval
to your list of dependencies in mix.exs
:
def deps do
[
{:ex_interval, "~> 0.1.0"}
]
end
Documentation can be generated with ExDoc and published on HexDocs. Once published, the docs can be found at https://hexdocs.pm/ex_interval.
The header <fenv.h> supports the intended model of use for the floating-point environment. It was defined in C99, and describe the handling of floating-point rounding and exceptions (overflow, zero-divide, etc.).
It implements the interval type.
iex> Interval.new(1.1)
[1.1, 1.1]
iex> Interval.new(-1, "0.1") # recognize the input as strings too
[-1.0, 0.1]
The operations of interval follow the interval arithmetic with maximum accuracy that captures essential properties associated with rounding.
iex> Interval.add("0.1", 0.1)
[0.2, 0.2]
iex> Interval.add([0.25, 0.5], [2.0, 2.0])
[2.25, 2.5]
Similarly, it provides minus (sub), multiplication (mul), and division (division) operators.
eps/0, is_member?/2, middle/1, absolute/1, diameter/1
iex> eps = Interval.eps
2.220446049250313e-16
iex> Interval.is_member?(eps, [0.0, 0.1])
true
iex> Interval.middle([0.0, 0.1])
0.05
iex> Interval.absolute([-1, 1])
1.0
iex> Interval.diameter([0.0, 0.1])
0.1
The error control is done by directed rounding for the interval operations, we also can use Rounding helper functions.
iex> backup_mode = Rounding.get_mode()
0
iex> Rounding.set_mode_downward()
0
iex> 1/3
0.3333333333333333
iex> Rounding.set_mode_upward()
0
iex> 1/3
0.33333333333333337
iex> Rounding.restore_mode(backup_mode)
0
*It does not guarantee is preemption safe.
[1] Moore, R. E., Interval Analysis. Prentice-Hall, Englewood Cliffs, New Jersey, 1966.
[2] Moore, R. E., Methods and Applications of Interval Analysis. SIAM Studies in Applied Mathematics, Philadelphia, 1979.
[3] Kulisch, U. W., Miranker, W. L., Computer Arithmetic in Theory and Practice. Academic Press, 1981.