IS CS-2015S1-02

题目来源Problem 2 日期:2024-08-11 题目主题:CS-递归函数分析

解题思路

我们将按照题目的要求,分析递归函数 的行为,特别是关注在 时的行为。问题主要涉及递归函数的展开、递归深度的分析和计算递归调用次数等。

Solution

Q1: Reduction sequence for

We need to find the reduction sequence for .

Given the function:

We evaluate :

The reduction sequence for is:

Q2: Prove that is evaluated to 27 for every integer

To prove that for every , we use induction on .

Base Case:

  • For , we have:

Since , we have , and similarly, and . Therefore, .

Inductive Step:

  • Assume for all , where . We need to show .

Since ,

and , by the inductive hypothesis, , so

Thus, .

By induction, for all .

Q3: Show that satisfies the given recurrence relation

To show that satisfies the recurrence relation:

Case 1:

If , then . The function is called only once, so , which satisfies the given equation.

Case 2:

If , then . The evaluation involves one call to and one call to , plus the initial call, so:

This satisfies the given equation.

Q4: Express in terms of

Let’s express for .

Given the recursive nature of :

and knowing that for all , we know for . Since involves a chain of recursive calls, let’s focus on a pattern.

For , .

Consider :

Continuing this pattern, each time, results in a sum involving the function values for greater , but eventually, all paths lead to evaluating , which involves only 1 call.

So, the closed form for when becomes increasingly complex, involving multiple sums that eventually collapse into a simple evaluation due to .

A possible general formula would be:

This formula represents the exponential growth in function calls due to the nested recursive structure, but the exact nature may depend on the depth of nesting, which varies with .

知识点

递归函数调用数学归纳法复杂度分析

解题技巧和信息

  1. 对递归函数的分析需要理解函数的调用顺序,尤其是考虑嵌套调用的情况。
  2. 数学归纳法是证明递归函数行为的强有力工具,特别是在对范围内的函数值进行验证时。
  3. 复杂度分析时需关注递归的深度和递归调用次数。

重点词汇

  • recursive function 递归函数
  • call-by-value 按值调用
  • reduction sequence 简化序列
  • base case 基本情况
  • inductive step 归纳步骤

参考资料

  1. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to Algorithms,” 3rd Edition, Chapter 4.2 (Recurrences).
  2. Michael Sipser, “Introduction to the Theory of Computation,” 3rd Edition, Section 7.1 (Recursion and Iteration).