I don't think there's an analytical solution, but you can approximate it.
First approximation is integral,
Next approximations would involve some play with operators.
Let's define [tex]D\equiv \frac{d}{dx}[/tex] as the derivative operator, and observe the operator [tex]\sigma \equiv e^{D}[/tex]
Functions of operators are defined via their Taylor Series, so:
[tex]e^{D} f=\sum^{\infty}_{k=0}\frac{D^{k}f(x)}{k!}=\sum^{\infty}_{k=0}\frac{1}{k!}\frac{d^{k}f(x)}{dx^{k}}(x+1-x)^k=f(x+1)[/tex]
(Notice that the last sum is the Taylor Series of f(z) around the point x)
So [tex]\sigma[/tex] is some sort of a delay\shift operator.
Let's now observe the operator S defined as
[tex]F(n)=Sf=\sum^{n}_{k=1}f(k)[/tex]
You can notice that [tex]\sigma Sf=\sum^{n+1}_{k=1}f(k)[/tex]
So [tex]\sigma S f-Sf=f(n+1)=\sigma f[/tex]
And conclude [tex]S(\sigma -1)=\sigma[/tex]
And if you recall the definition of [tex]\sigma[/tex] then:
[tex]S=(1-\sigma^{-1})^{-1}=\frac{1}{1-e^{-D}}[/tex]
[tex]S(D-\frac{D^{2}}{2}+\frac{D^{3}}{6}-...)=1[/tex]
Knowing the expansion of the exponential function, you can approximate the Taylor expansion of S. The interesting fact is that S has a simple pole at "D=0", which means that in the expansion of S you will have a negative power of D:
[tex]S=D^{-1}+...[/tex]
Which means that integration (the inverse of D) is the first approximation to discrete summation.
A better approximation would be
[tex]S=D^{-1}+\frac{1}{2}+\frac{1}{4}D[/tex]
Operate S on [tex]\frac{1}{\sqrt{n}}[/tex]
And get:
[tex]\sum^{n}_{k=2}\frac{1}{\sqrt{k}}=\int^{n}_{k=2}\frac{dk}{\sqrt{k}}+\frac{1}{2\sqrt{n}}-\frac{1}{8n\sqrt{n}}[/tex]
And after some tiresome calculation for n=361
[tex]=35.1977[/tex]
Which I think is a pretty good approximation, if only to show that the operator thing is correct.
Taking further derivatives would make a better approximation.