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
解题技巧和信息
- 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。
- 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。
- 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
- Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to Algorithms,” 3rd Edition, Chapter 4.2 (Recurrences).
- Michael Sipser, “Introduction to the Theory of Computation,” 3rd Edition, Section 7.1 (Recursion and Iteration).