Possible closed form approximation of a trigonometrical expression
I need to create a simple algorithm to draw a Venn diagram (ideally for 3-circle case, but even solving it for 2 is a good start). So given thee numbers - X
& Y
(sizes of two sets), and Z (size of the overlap), I need to calculate the two circle radii (r1
& r2
) and the distance (d
) between them. This amazing explanation has all the needed formulas, but sadly there is no closed form for the expression (the author solves it numerically). Is there an approximation I can use to solve it? I cannot solve numerically in the Vega visualization.
Quick recap of the article: calculating r1
and r2
is straightforward,
X = π*r1^2 -> r1 = sqrt(X / π)
Y = π*r2^2 -> r2 = sqrt(Y / π)
The green area equals to
Z = r1^2 * (θ1 – sin(2*θ1) / 2) + r2^2 * (θ2 – sin(2*θ2) / 2)
thus the needed distance is
d = r1 * cos(θ1) + r2 * cos(θ2)
Note that d
could be less than r1 + r2
in case when more than half of one set is also part of another set. How would it be possible to approximate it in a "good enough" manner?
closed-form
New contributor
add a comment |
I need to create a simple algorithm to draw a Venn diagram (ideally for 3-circle case, but even solving it for 2 is a good start). So given thee numbers - X
& Y
(sizes of two sets), and Z (size of the overlap), I need to calculate the two circle radii (r1
& r2
) and the distance (d
) between them. This amazing explanation has all the needed formulas, but sadly there is no closed form for the expression (the author solves it numerically). Is there an approximation I can use to solve it? I cannot solve numerically in the Vega visualization.
Quick recap of the article: calculating r1
and r2
is straightforward,
X = π*r1^2 -> r1 = sqrt(X / π)
Y = π*r2^2 -> r2 = sqrt(Y / π)
The green area equals to
Z = r1^2 * (θ1 – sin(2*θ1) / 2) + r2^2 * (θ2 – sin(2*θ2) / 2)
thus the needed distance is
d = r1 * cos(θ1) + r2 * cos(θ2)
Note that d
could be less than r1 + r2
in case when more than half of one set is also part of another set. How would it be possible to approximate it in a "good enough" manner?
closed-form
New contributor
add a comment |
I need to create a simple algorithm to draw a Venn diagram (ideally for 3-circle case, but even solving it for 2 is a good start). So given thee numbers - X
& Y
(sizes of two sets), and Z (size of the overlap), I need to calculate the two circle radii (r1
& r2
) and the distance (d
) between them. This amazing explanation has all the needed formulas, but sadly there is no closed form for the expression (the author solves it numerically). Is there an approximation I can use to solve it? I cannot solve numerically in the Vega visualization.
Quick recap of the article: calculating r1
and r2
is straightforward,
X = π*r1^2 -> r1 = sqrt(X / π)
Y = π*r2^2 -> r2 = sqrt(Y / π)
The green area equals to
Z = r1^2 * (θ1 – sin(2*θ1) / 2) + r2^2 * (θ2 – sin(2*θ2) / 2)
thus the needed distance is
d = r1 * cos(θ1) + r2 * cos(θ2)
Note that d
could be less than r1 + r2
in case when more than half of one set is also part of another set. How would it be possible to approximate it in a "good enough" manner?
closed-form
New contributor
I need to create a simple algorithm to draw a Venn diagram (ideally for 3-circle case, but even solving it for 2 is a good start). So given thee numbers - X
& Y
(sizes of two sets), and Z (size of the overlap), I need to calculate the two circle radii (r1
& r2
) and the distance (d
) between them. This amazing explanation has all the needed formulas, but sadly there is no closed form for the expression (the author solves it numerically). Is there an approximation I can use to solve it? I cannot solve numerically in the Vega visualization.
Quick recap of the article: calculating r1
and r2
is straightforward,
X = π*r1^2 -> r1 = sqrt(X / π)
Y = π*r2^2 -> r2 = sqrt(Y / π)
The green area equals to
Z = r1^2 * (θ1 – sin(2*θ1) / 2) + r2^2 * (θ2 – sin(2*θ2) / 2)
thus the needed distance is
d = r1 * cos(θ1) + r2 * cos(θ2)
Note that d
could be less than r1 + r2
in case when more than half of one set is also part of another set. How would it be possible to approximate it in a "good enough" manner?
closed-form
closed-form
New contributor
New contributor
edited Jan 5 at 22:54
Yurik
New contributor
asked Jan 5 at 22:30
YurikYurik
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