递归转非递归

#递归转非递归| 来源: 网络整理| 查看: 265

本文参照此处实现: 递归函数转非递归(通用方法)[1/2]——数据结构递归函数转非递归(通用方法)[2/2]

先说总结，这种方案总的来说就是机械化的强转，时间复杂度和空间复杂度没什么变化，唯二的优点可能是1. 不会爆栈，2. 节省了函数调用的开销

而且最终产出的代码效果不那么美观，比较冗长

思路是：当发生递归调用时，模拟函数调用的压栈。并处理入参和返回值和记录返回到当前栈的时候该继续从哪里执行

以如下递归(leetcode爬楼梯)为例

1234def f(n): if n 1 root = Node(l[mid]) root.left = list2tree(l[:mid]) root.right = list2tree(l[mid + 1:]) return rootdef inorder_recursive(root): if not root: return [] return inorder_recursive(root.left) + [root.val] + inorder_recursive(root.right)l = list(range(1, 2 1: cur = stack[-1] arg, local, flag = cur arg, aorb = arg mid = (len(arg) - 1) >> 1 if flag == 0: if len(arg) == 1: stack.pop() stack[-1][-2][aorb] = Node(arg[0]) else: stack[-1][-1] = 1 new_frame = [(arg[:mid],'a'), {}, 0] stack.append(new_frame) elif flag == 1: stack[-1][-1] = 2 new_frame = [(arg[mid+1:],'b'),{}, 0] stack.append(new_frame) elif flag == 2: left, right = local['a'], local['b'] root = Node(arg[mid]) root.left = left root.right = right stack.pop() stack[-1][-2][aorb] = root return stack[0][-2]['a']def inorder_recursive(root): stack = [] base_frame = [None, {}, 0] first_frame = [(root, 'a'), {'a': None, 'c': None}, 0] stack.append(base_frame) stack.append(first_frame) while len(stack) > 1: cur = stack[-1] arg, local, flag = cur arg, left_right = arg if flag == 0: if not arg: stack.pop() stack[-1][-2][left_right] = [] else: stack[-1][-1] = 1 new_frame = [(arg.left, 'a'), {}, 0] stack.append(new_frame) elif flag == 1: stack[-1][-1] = 2 new_frame = [(arg.right, 'c'), {}, 0] stack.append(new_frame) elif flag == 2: b = [arg.val] ret = local['a'] + b + local['c'] stack.pop() stack[-1][-2][left_right] = ret return stack[0][-2]['a']l = list(range(1, 2

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