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pythonmathematical-optimization

Calculate a value from randomly generated numbers which is always positive

I am trying to make sure that the value tDiscriminant is always positive. As you can see below, it is calculated from three randomly generated numbers. 

s = random.uniform(1,100)
sRounded = round(s,1)   
v = random.uniform(1,50)
vRounded = round(v,1)   
a = random.uniform(1,20)
aRounded = round(a,1)
tDiscriminant = (vRounded*vRounded)-(2*aRounded*sRounded)
tDiscriminantRooted = math.sqrt(tDiscriminant)

How do I make it so that if tDiscriminant is negative, the values s, v and a have to be generated again until tDiscriminant is positive?

Solution

  • Try

    import random
tDiscriminant = -1
while tDiscriminant <= 0:
  s = random.uniform(1,400)
  sRounded = round(s,1)   
  v = random.uniform(1,50)
  vRounded = round(v,1)   
  a = random.uniform(1,20)
  aRounded = round(a,1)
  tDiscriminant = (vRounded*vRounded)-(2*aRounded*sRounded)
tDiscriminantRooted = math.sqrt(tDiscriminant)