BigFloat 不给出任意精度

Question

我正在使用楚德诺夫斯基算法计算圆周率的数字，这是我的代码：

qMax = 1000000
L = Vector{BigFloat}(undef, qMax)
L[1] = 13591409
for q in 2:qMax
L[q] = L[q-1] + 545140134
end
X = Vector{BigFloat}(undef, qMax)
X[1] = 1.0
for q in 2:qMax
X[q] = X[q-1] * (-262537412640768000)
end
M = Vector{BigFloat}(undef, qMax)
M[1] = 1.0
for q in 2:qMax
M[q] = M[q-1] * (((12*(q-2) + 2) * (12*(q-2)+6) * (12*(q-2) + 10))/(q-1)^3)
end
result = 0
for q in 1:qMax
global result += (M[q] * L[q]) / X[q]
end
print(426880 * sqrt(10005) * 1/result)

但是当我打印结果时，我在 qMax 的 3 表示 1、10、1000 等值后得到相同的位数。如何在 3 之后获得任意多位数字？

Answer 1

您可以使用setprecision：

julia> BigFloat(π)
3.141592653589793238462643383279502884197169399375105820974944592307816406286198
julia> setprecision(BigFloat, 1024)
1024
julia> BigFloat(π)
3.141592653589793238462643383279502884197169399375105820974944592307816406286208998628034825342117067982148086513282306647093844609550582231725359408128481117450284102701938521105559644622948954930381964428810975665933446128475648233786783165271201909145648566923460348610454326648213393607260249141273724586997
julia> 

也可以在构造函数中指定精度：

julia> BigFloat(π, precision=2048)
3.14159265358979323846264338327950288419716939937510582097494459230781640628620899862803482534211706798214808651328230664709384460955058223172535940812848111745028410270193852110555964462294895493038196442881097566593344612847564823378678316527120190914564856692346034861045432664821339360726024914127372458700660631558817488152092096282925409171536436789259036001133053054882046652138414695194151160943305727036575959195309218611738193261179310511854807446237996274956735188575272489122793818301194912983367336244065664308602139494639522473719070217986094370277053921717629317675238467481846766940513200056812714526357

但是，运算符似乎不尊重构造函数中设置的精度：

julia> setprecision(BigFloat, 10) # low precision
10
julia> BigFloat(1) / 3
0.3335 # OK, low precision, as expected
julia> BigFloat(1, precision=100) / 3
0.3335 # Low precision still!

我希望在整个表达式中传播更高的精度，但事实似乎并非如此......

编辑：我打开了一个关于此行为的问题。

<小时 />

编辑2：

在更新M的循环中，所有的计算都是在q上完成的，这是一个正则整数，所以当你除以(q-1)^3时，这将意味着正则浮点除法，不涉及BigFloat。

您可以使用这样的BigFloat：

for q in 2:qMax
# Use `BigFloat`!
q_f = BigFloat(q)
M[q] = M[q-1] * (
(
(12*(q_f-2) + 2) * (12*(q_f-2)+6) * (12*(q_f-2) + 10)
) / (q_f-1)^3
)
end

法典：

setprecision(1024)
# your code...
println(426880 * sqrt(BigFloat(10005)) * 1/result)
println(BigFloat(π))

输出：

~/test $ julia so2.jl
3.141592653589793238462643383279502884197169399375105820974944592307816406286208998628034825342117067982148086513282306647093844609550582231725359408128481117450284102701938521105559644622948954930381964428810975665933446128475648233786783165271201909145648566923460348610454326648213393607260249141273724587042
3.141592653589793238462643383279502884197169399375105820974944592307816406286208998628034825342117067982148086513282306647093844609550582231725359408128481117450284102701938521105559644622948954930381964428810975665933446128475648233786783165271201909145648566923460348610454326648213393607260249141273724586997