Task: Numeric error propagation




Go: package main

import (
    "fmt"
    "math"
)




type unc struct {
    n float64 
    s float64 
}


func newUnc(n, s float64) *unc {
    return &unc{n, s * s}
}



func (z *unc) errorTerm() float64 {
    return math.Sqrt(z.s)
}









func (z *unc) addC(a *unc, c float64) *unc {
    *z = *a
    z.n += c
    return z
}

func (z *unc) subC(a *unc, c float64) *unc {
    *z = *a
    z.n -= c
    return z
}

func (z *unc) addU(a, b *unc) *unc {
    z.n = a.n + b.n
    z.s = a.s + b.s
    return z
}
func (z *unc) subU(a, b *unc) *unc {
    z.n = a.n - b.n
    z.s = a.s + b.s
    return z
}


func (z *unc) mulC(a *unc, c float64) *unc {
    z.n = a.n * c
    z.s = a.s * c * c
    return z
}

func (z *unc) divC(a *unc, c float64) *unc {
    z.n = a.n / c
    z.s = a.s / (c * c)
    return z
}

func (z *unc) mulU(a, b *unc) *unc {
    prod := a.n * b.n
    z.n, z.s = prod, prod*prod*(a.s/(a.n*a.n)+b.s/(b.n*b.n))
    return z
}

func (z *unc) divU(a, b *unc) *unc {
    quot := a.n / b.n
    z.n, z.s = quot, quot*quot*(a.s/(a.n*a.n)+b.s/(b.n*b.n))
    return z
}


func (z *unc) expC(a *unc, c float64) *unc {
    f := math.Pow(a.n, c)
    g := f * c / a.n
    z.n = f
    z.s = a.s * g * g
    return z
}

func main() {
    x1 := newUnc(100, 1.1)
    x2 := newUnc(200, 2.2)
    y1 := newUnc(50, 1.2)
    y2 := newUnc(100, 2.3)
    var d, d2 unc
    d.expC(d.addU(d.expC(d.subU(x1, x2), 2), d2.expC(d2.subU(y1, y2), 2)), .5)
    fmt.Println("d:    ", d.n)
    fmt.Println("error:", d.errorTerm())
}




Python: from collections import namedtuple
import math
 
class I(namedtuple('Imprecise', 'value, delta')):
    'Imprecise type: I(value=0.0, delta=0.0)' 
 
    __slots__ = () 
 
    def __new__(_cls, value=0.0, delta=0.0):
        'Defaults to 0.0 ± delta'
        return super().__new__(_cls, float(value), abs(float(delta)))
 
    def reciprocal(self):
        return I(1. / self.value, self.delta / (self.value**2)) 
 
    def __str__(self):
        'Shorter form of Imprecise as string'
        return 'I(%g, %g)' % self
 
    def __neg__(self):
        return I(-self.value, self.delta)
 
    def __add__(self, other):
        if type(other) == I:
            return I( self.value + other.value, (self.delta**2 + other.delta**2)**0.5 )
        try:
            c = float(other)
        except:
            return NotImplemented
        return I(self.value + c, self.delta)

    def __sub__(self, other):
        return self + (-other)
 
    def __radd__(self, other):
        return I.__add__(self, other)
 
    def __mul__(self, other):
        if type(other) == I:
            
            
            a1,b1 = self
            a2,b2 = other
            f = a1 * a2
            return I( f, f * ( (b1 / a1)**2 + (b2 / a2)**2 )**0.5 )
        try:
            c = float(other)
        except:
            return NotImplemented
        return I(self.value * c, self.delta * c)
 
    def __pow__(self, other):
        if type(other) == I:
            return NotImplemented
        try:
            c = float(other)
        except:
            return NotImplemented
        f = self.value ** c
        return I(f, f * c * (self.delta / self.value))
 
    def __rmul__(self, other):
        return I.__mul__(self, other)
 
    def __truediv__(self, other):
        if type(other) == I:
            return self.__mul__(other.reciprocal())
        try:
            c = float(other)
        except:
            return NotImplemented
        return I(self.value / c, self.delta / c)
 
    def __rtruediv__(self, other):
        return other * self.reciprocal()
 
    __div__, __rdiv__ = __truediv__, __rtruediv__
 
Imprecise = I

def distance(p1, p2):
    x1, y1 = p1
    x2, y2 = p2
    return ((x1 - x2)**2 + (y1 - y2)**2)**0.5
 
x1 = I(100, 1.1)
x2 = I(200, 2.2)
y1 = I( 50, 1.2)
y2 = I(100, 2.3)

p1, p2 = (x1, y1), (x2, y2)
print("Distance between points\n  p1: %s\n  and p2: %s\n  = %r" % (
      p1, p2, distance(p1, p2)))