Thread: about relationship between data structures and computational methods.

Err... what does it mean to solve a data structure?

Once again the forum has interpreted my post as being source and I'm forced to wrap the post. Lovely.

[Edit]
I now had to break it manually because of the crappy forum software. Loveliest.
[/Edit]

Code:

(I'm not getting this.)

Saying "Computational Methods of ${BLANK}" is a fancy way of saying
"Algorithm (Design)/(Study)/(Analysis) and Implementation of ${BLANK}".
It is applied science of applied science! It is applying computer theory to
another science.

The data structures and algorithms that you listed have nothing to do with
computational statistics. You can't "solve" any of them with "computational
methods". They do not "compare" with statistics methods. They are the
results of computer science. They may be used in a particular implementation
of statistical methods, but they are not statistical methods.

You can not "solve" the algorithm and data structure I reference using
statistics. (I was referring to a data structure. I was not referring to
mathematics.) It is a computer science problem. It requires computer
science. If I could give an example, it would be a solved problem.
(I don't consider using multiple lock-free linked lists a solution.)

You want to study statistics problems. I'm certain that a open source
software package is available to study statistics and the current popular
algorithms and data structures used in computational statistics. This is
not a natural job for C++.

This is hard to say. I can't find the right words. You are obviously not
a native English speaker, and that doesn't help.

Soma