C++ 吗?限制递归深度?

发布于 2024-08-28 21:23:03 字数 75 浏览 6 评论 0原文

Python 中存在最大递归深度。似乎是因为 Python 是解释性的而不是编译性的。 C++有同样的概念吗?或者它只与RAM限制有关?

In Python there is a maximum recursion depth. Seems it is because Python is interpreted rather than compiled. Does C++ have the same concept? Or it is connected only with RAM limit?

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守不住的情 2024-09-04 21:23:03

C++ 中的限制是由于堆栈的最大大小造成的。这通常比 RAM 的大小小几个数量级,但仍然相当大。 (幸运的是,像字符串内容这样的大东西通常不会保存在堆栈本身上。)

堆栈限制通常可以在操作系统级别进行调整。 (如果您使用的是 Unix,请参阅内置 ulimit shell 的文档。)此计算机 (OSX) 上的默认值是 8 MB。

[编辑] 当然,在计算可以递归的深度时,堆栈的大小本身并不完全有帮助。要知道这一点,您必须计算递归函数(也称为堆栈帧)的激活记录(或多个记录)的大小。最简单的方法(据我所知)是使用反汇编程序(大多数调试器的功能)并在每个函数的开头和结尾读出堆栈指针调整的大小。这很混乱。 (您可以通过其他方式来解决这个问题 - 例如,计算两次调用中指向变量的指针之间的差异 - 但它们甚至更糟糕,特别是对于可移植代码。在我看来,从反汇编中读取值更容易。)

The limit in C++ is due to the maximum size of the stack. That's typically less than the size of RAM by quite a few orders of magnitude, but is still pretty large. (Luckily, large things like string contents are typically held not on the stack itself.)

The stack limit is typically tunable at the OS level. (See the docs for the ulimit shell built-in if you're on Unix.) The default on this machine (OSX) is 8 MB.

[EDIT] Of course, the size of the stack doesn't entirely help by itself when it comes to working out how deep you can recurse. To know that, you have to compute the size of the activation record (or records) of the recursive function (also called a stack frame). The easiest way to do that (that I know of) is to use a disassembler (a feature of most debuggers) and to read out the size of the stack pointer adjustments at the start and end of every function. Which is messy. (You can work it out other ways – for example, computing the difference between pointers to variables in two calls – but they're even nastier, especially for portable code. Reading the values out of the disassembly is easier IMO.)

撩人痒 2024-09-04 21:23:03

不,C++ 没有明确的递归深度。如果超过最大堆栈大小(Windows 上默认为 1 MB),您的 C++ 程序将溢出堆栈并终止执行。

No, C++ does not have an explicit recursion depth. If the maximum stack size is exceeded (which is 1 MB by default on Windows), your C++ program will overflow your stack and execution will be terminated.

风启觞 2024-09-04 21:23:03

C 或 C++ 标准中没有递归深度跟踪或限制。在运行时,深度受到堆栈可以增长的大小的限制。

There's no recursion depth tracking or limit in the C or C++ standards. At runtime, the depth is limited by how big the stack can grow.

顾忌 2024-09-04 21:23:03

Python 有一个可调限制递归调用,而C++则受堆栈大小的限制。

此外,许多语言或编译器可以通过删除调用者的堆栈帧来优化尾递归,这样就不会消耗额外的堆栈空间。 (在尾递归中,调用函数所做的唯一事情就是在进行递归调用后返回递归调用的返回值。)

int fact(int n, int accum=1){
  if (n==0) return accum;
  else return fact(n-1,n*accum); //tail recursion here.
}

Python 不优化尾递归(但是 stackless Python 确实如此),而C++不需要尾递归优化,但我相信gcc优化了尾递归。尽管 Scala 语言在某些常见的记录案例中会优化尾递归,但 JVM 不会优化尾递归。 Scheme 和 Lisp(可能还有其他函数式语言)需要优化尾递归。

Python has a tunable limit on recursive calls, while C++ is limited by the stack size.

Additionally, many languages or compilers can optimize tail recursion by removing the caller's stack frame so that no additional stack space is consumed. (In tail recursion, the only thing the calling function does is after making the recursive call is to return the recursive call's return value.)

int fact(int n, int accum=1){
  if (n==0) return accum;
  else return fact(n-1,n*accum); //tail recursion here.
}

Python does not optimize tail recursion (but stackless Python does), and C++ does not require tail recursion optimization, but I believe that gcc optimizes tail recursion. The JVM does not optimize tail recursion, though the Scala language does in certain common documented cases. Scheme and Lisp (and probably other functional languages as well) require that tail recursion be optimized.

微暖i 2024-09-04 21:23:03

C++ 确实有最大递归深度,受堆栈限制。然而,现代操作系统能够在用户空间堆栈填满时动态扩展它,仅通过内存空间和内存碎片来限制递归深度。

C++ does have a maximum recursion depth, limited by the stack. However, modern operating systems are able to expand a userspace stack dynamically as it fills up, limiting recursion depth by memory space and memory fragmentation only.

述情 2024-09-04 21:23:03

我相信限制是平台上可用堆栈的大小。据我所知,Linux 上默认为 8K 8MB,但现代内核可以动态调整堆栈大小。

I believe the limit is the size of the stack available on the platform. From what I've read, it's 8K 8MB by default on Linux, but modern kernels can adjust the stack size dynamically.

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