If a guy's clamped girth is X(1) and his unclamped girth is Y(1), what do you suppose is the average time (Tave) required for Y(1)=X(2) (his new unclamped girth)?
jqsderrida said:If a guy's clamped girth is X(1) and his unclamped girth is Y(1), what do you suppose is the average time (Tave) required for Y(1)=X(2) (his new unclamped girth)?
jqsderrida said:No, the formula asks for how long, on average, do you suppose it would take before a person's NEW unclamped girth becomes equal to his OLD (or beginning, T= 0) clamped girth?![]()
I don't think anyone can really answer this as Penis Enlargement is a non-linear equation. :sjqsderrida said:No, the formula asks for how long, on average, do you suppose it would take before a person's NEW unclamped girth becomes equal to his OLD (or beginning, T= 0) clamped girth?![]()
sikdogg said:I don't think anyone can really answer this as Penis Enlargement is a non-linear equation. :s
Nah, check out basic linear algebra. You can solve in n dimensions provided you have n 'linearly independent' equations.doublelongdaddy said:Exactly. Using mathematics in a linear equation is really only possible in a 1 or 2 dimensional phrase. For instance:
x + 2y = 10,
3a + 472b = 10b = 37,
2x + y - 5 = -7 + 4y + 3.
In a 2 dimensional general form we see:
Ax + By + C = 0
In this we call A and B equality to zero
We could also explore Standard, Slope, Intercept, etc.
You could also check out basic calculus. There would be a growth curve to which a function can be applied (if necessary, with the help of some computer algebra program). This function can be differentiated to solve the above based problem. In fact, I'm not even sure what the slop-intercept rambling has to do with non-linear equations. If enough data is gathered a differential equation can be formulated to exactly explain the data.spinner2 said:Nah, check out basic linear algebra. You can solve in n dimensions provided you have n 'linearly independent' equations.
jqsderrida said:If enough data is gathered a differential equation can be formulated to exactly explain the data.