Random Kth Max

AtCoder
IDabc226_h
Time2000ms
Memory256MB
Difficulty
We have $N$ continuous random variables $X_1,X_2,\dots,X_N$. $X_i$ has a continuous uniform distribution over the interval $\lbrack L_i, R_i \rbrack$. Let $E$ be the expected value of the $K$\-th greatest value among the $N$ random variables. Print $E \bmod {998244353}$ as specified in Notes. ## Constraints * $1 \leq N \leq 50$ * $1 \leq K \leq N$ * $0 \leq L_i \lt R_i \leq 100$ * All values in input are integers. ## Input Input is given from Standard Input in the following format: $N$ $K$ $L_1$ $R_1$ $L_2$ $R_2$ $\vdots$ $L_N$ $R_N$ [samples] ## Notes In this problem, we can prove that $E$ is always a rational number. Additionally, the Constraints of this problem guarantee that, when $E$ is represented as an irreducible fraction $\frac{y}{x}$, $x$ is indivisible by $998244353$. Here, there uniquely exists an integer $z$ between $0$ and $998244352$ such that $xz \equiv y \pmod{998244353}$. Print this $z$ as the value $E \bmod {998244353}$.
Samples
Input #1
1 1
0 2
Output #1
1

The answer is the expected value of the random variable with a continuous uniform distribution over the interval $\lbrack 0, 2 \rbrack$. Thus, we should print $1$.
Input #2
2 2
0 2
1 3
Output #2
707089751

The answer represented as a rational number is $\frac{23}{24}$. We have $707089751 \times 24 \equiv 23 \pmod{998244353}$, so we should print $707089751$.
Input #3
10 5
35 48
44 64
47 59
39 97
36 37
4 91
38 82
20 84
38 50
39 69
Output #3
810056397
API Response (JSON)
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  "problem": {
    "name": "Random Kth Max",
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      "content": "We have $N$ continuous random variables $X_1,X_2,\\dots,X_N$. $X_i$ has a continuous uniform distribution over the interval $\\lbrack L_i, R_i \\rbrack$.   Let $E$ be the expected value of the $K$\\-th gr",
      "description_type": "Markdown"
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      "statement_type": "Markdown",
      "content": "We have $N$ continuous random variables $X_1,X_2,\\dots,X_N$. $X_i$ has a continuous uniform distribution over the interval $\\lbrack L_i, R_i \\rbrack$.  \nLet $E$ be the expected value of the $K$\\-th gr...",
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