- #1
yogo
- 3
- 0
Hi all,
I have a summation series which goes like this,
S = [log(1)]^2 + [log(2)]^2 + [log(3)]^2 + ... + [log(n)]^2
Since each term is square of the logarithm of a value, I think there are no general tricks which can be used to solve this.
But is there any way to approximate the value of this summation?
The problem I am facing here is that n is very very large and it is not possible (time-wise and memory-wise) for my program to evaluate every term. So I was hoping for some approximate solution in terms of 'n'.
Thanks,
yogo
I have a summation series which goes like this,
S = [log(1)]^2 + [log(2)]^2 + [log(3)]^2 + ... + [log(n)]^2
Since each term is square of the logarithm of a value, I think there are no general tricks which can be used to solve this.
But is there any way to approximate the value of this summation?
The problem I am facing here is that n is very very large and it is not possible (time-wise and memory-wise) for my program to evaluate every term. So I was hoping for some approximate solution in terms of 'n'.
Thanks,
yogo