问题描述
您好,我有一个程序处理大量向量和这些向量元素的索引,我想知道:
Hi I have a program that deals alot with vectors and indexes of the elements of these vectors, and I was wondering:
uint
和unsigned int
有区别吗- 最好使用上述类型之一或仅使用
int
因为我读到有人说编译器确实更有效地处理 int 值,但如果我使用int
我必须始终检查是否有负 idxs,这很痛苦. - 您认为迭代器更好吗?它比普通索引
vectorx[idx]
更有效吗?
- is there a difference between
uint
andunsigned int
- which is better to use one of the above types or just use
int
as I read some people say compiler does handle int values more efficiently, but if I usedint
I will have to check always for negative idxs which is pain. - do you think iterators to be better? is it more efficient than normal indexing
vectorx[idx]
?
p.s 该软件将处理大数据处理,必须具备良好的性能
p.s the software will handle large data processes and good performance is a must have requirement
推荐答案
C++ 没有定义像
uint
这样的类型.这必须是您的"类型,即在您的代码或某个第三方库中定义的类型.可以猜到它与unsigned int
相同.可能是unsigned long int
或其他东西.无论如何,你必须自己检查.
C++ defines no such type as
uint
. This must be "your" type, i.e. a type defined in your code or some third party library. One can guess that it is the same asunsigned int
. Could beunsigned long int
though or something else. Anyway, you have to check it yourself.
这是个人风格的问题.例如,我认为必须使用无符号类型来表示自然的非负值,例如大小或数量.除了一些特定的上下文之外,有符号和无符号类型的性能没有区别.我想说的是,在大多数情况下,处理效率更高的是 unsigned 类型.
It is a matter of personal style. I, for example, believe that one has to use unsigned types to represent naturally non-negative values, like sizes or quantities. There's no difference in performance between signed and unsigned types, aside from some specific contexts. I would say that in most cases it is unsigned types that will be handled more efficiently.
迭代器使实现更加通用,即您可以使用顺序访问迭代器,从而使您的实现适用于任何顺序数据结构.通过使用索引,您对数据结构施加了随机访问要求,这是一个很强的要求.在没有真正需要时强加严格的要求并不是一个好主意.
Iterators make implementations more generic, i.e. you can use sequential-access iterator and thus make your implementation applicable to any sequential data structure. By using index you impose the random-access requirement on the data structure, which is a strong requirement. It is not a good idea to impose strong requirements when there's no real need for them.
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