Home Backend Development C++ How to implement the tail recursion optimization strategy of C++ recursive functions?

How to implement the tail recursion optimization strategy of C++ recursive functions?

Apr 17, 2024 pm 02:42 PM
c++ recursive function Tail recursion optimization

The tail recursion optimization strategy effectively reduces the function call stack depth and prevents stack overflow by converting tail recursive calls into loops. Optimization strategies include: Detect tail recursion: Check whether there are tail recursive calls in the function. Convert functions into loops: Use loops instead of tail-recursive calls and maintain a stack to save intermediate state.

C++ 递归函数的尾递归优化策略如何实现?

C Tail recursion optimization strategy in recursive functions

Introduction

Tail Recursion means that a function calls itself recursively during execution, and this call is the last step of the function. Optimizing tail recursion can significantly reduce the depth of the function call stack, thereby avoiding program crashes caused by stack overflow.

Optimization Strategy

The C compiler does not have built-in tail recursion optimization, but we can manually implement optimization by converting the tail recursive function into a loop:

  • Detect tail recursion: Check whether the function contains a tail recursive call, that is:
int factorial(int n) {
  if (n == 0) {
    return 1;
  } else {
    return n * factorial(n - 1);
  }
}
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  • Convert the function into a loop:Use while or for loops instead of tail recursive calls, and maintain a stack to save the intermediate state:
int factorial_optimized(int n) {
  int result = 1;
  while (n > 0) {
    result *= n;
    n--;
  }
  return result;
}
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Practical case

The following is a calculation Example of tail recursive optimization of factorial:

// 未优化的尾递归函数
int factorial(int n) {
  if (n == 0) {
    return 1;
  } else {
    return n * factorial(n - 1);
  }
}

// 优化的尾递归函数
int factorial_optimized(int n) {
  int result = 1;
  while (n > 0) {
    result *= n;
    n--;
  }
  return result;
}

int main() {
  int n = 5;
  int result = factorial(n);
  cout << "Factorial of " << n << " (unoptimized): " << result << endl;

  result = factorial_optimized(n);
  cout << "Factorial of " << n << " (optimized): " << result << endl;
  return 0;
}
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Output:

Factorial of 5 (unoptimized): 120
Factorial of 5 (optimized): 120
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It can be seen that the optimized function does not require recursion when calculating the same value, thus reducing the stack depth and improving efficiency. .

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