Task: Numeric error propagation





Java: public class Approx {
    private double value;
    private double error;
    
    public Approx(){this.value = this.error = 0;}
    
    public Approx(Approx b){
        this.value = b.value;
        this.error = b.error;
    }
    
    public Approx(double value, double error){
        this.value = value;
        this.error = error;
    }
    
    public Approx add(Approx b){
        value+= b.value;
        error = Math.sqrt(error * error + b.error * b.error);
        return this;
    }
    
    public Approx add(double b){
        value+= b;
        return this;
    }
    
    public Approx sub(Approx b){
        value-= b.value;
        error = Math.sqrt(error * error + b.error * b.error);
        return this;
    }
    
    public Approx sub(double b){
        value-= b;
        return this;
    }
    
    public Approx mult(Approx b){
        double oldVal = value;
        value*= b.value;
        error = Math.sqrt(value * value * (error*error) / (oldVal*oldVal) +
                                  (b.error*b.error) / (b.value*b.value));
        return this;
    }

    public Approx mult(double b){
        value*= b;
        error = Math.abs(b * error);
        return this;
    }
    
    public Approx div(Approx b){
        double oldVal = value;
        value/= b.value;
        error = Math.sqrt(value * value * (error*error) / (oldVal*oldVal) +
                                  (b.error*b.error) / (b.value*b.value));
        return this;
    }

    public Approx div(double b){
        value/= b;
        error = Math.abs(b * error);
        return this;
    }
    
    public Approx pow(double b){
        double oldVal = value;
        value = Math.pow(value, b);
        error = Math.abs(value * b * (error / oldVal));
        return this;
    }
    
    @Override
    public String toString(){return value+"±"+error;}
    
    public static void main(String[] args){
        Approx x1 = new Approx(100, 1.1);
        Approx y1 = new Approx(50, 1.2);
        Approx x2 = new Approx(200, 2.2);
        Approx y2 = new Approx(100, 2.3);
        
        x1.sub(x2).pow(2).add(y1.sub(y2).pow(2)).pow(0.5);
        
        System.out.println(x1);
    }
}



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)))