181 lines
42 KiB
HTML
181 lines
42 KiB
HTML
<!DOCTYPE html>
|
|
<html lang="ko">
|
|
<head>
|
|
<meta charset="UTF-8" />
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
|
<title>BOJ 8983 - Offline</title>
|
|
<style>
|
|
:root {
|
|
--bg: #fafaf8;
|
|
--paper: #ffffff;
|
|
--ink: #1e1f24;
|
|
--muted: #6a6d75;
|
|
--line: #d8dce3;
|
|
--accent: #0d6e6e;
|
|
--code-bg: #f4f6fb;
|
|
}
|
|
* { box-sizing: border-box; }
|
|
body {
|
|
margin: 0;
|
|
background:
|
|
radial-gradient(circle at 15% 0%, #f0efe9 0%, transparent 42%),
|
|
radial-gradient(circle at 85% 20%, #e7f1f2 0%, transparent 38%),
|
|
var(--bg);
|
|
color: var(--ink);
|
|
font-family: "Noto Sans KR", "Pretendard", "Apple SD Gothic Neo", sans-serif;
|
|
line-height: 1.65;
|
|
}
|
|
main {
|
|
max-width: 980px;
|
|
margin: 0 auto;
|
|
padding: 24px 16px 56px;
|
|
}
|
|
.header {
|
|
background: var(--paper);
|
|
border: 1px solid var(--line);
|
|
border-radius: 14px;
|
|
padding: 18px 20px;
|
|
margin-bottom: 18px;
|
|
}
|
|
.header h1 { margin: 0 0 6px; font-size: 1.5rem; }
|
|
.header p { margin: 0; color: var(--muted); font-size: 0.95rem; }
|
|
.header a { color: var(--accent); text-decoration: none; }
|
|
.section {
|
|
background: var(--paper);
|
|
border: 1px solid var(--line);
|
|
border-radius: 14px;
|
|
padding: 16px 18px;
|
|
margin-bottom: 14px;
|
|
overflow-x: auto;
|
|
}
|
|
h2 {
|
|
margin: 0 0 10px;
|
|
font-size: 1.05rem;
|
|
color: var(--accent);
|
|
border-bottom: 1px solid var(--line);
|
|
padding-bottom: 8px;
|
|
}
|
|
pre, code {
|
|
font-family: "JetBrains Mono", "Fira Code", monospace;
|
|
background: var(--code-bg);
|
|
}
|
|
pre {
|
|
padding: 12px;
|
|
border-radius: 10px;
|
|
border: 1px solid #e7ebf2;
|
|
overflow: auto;
|
|
}
|
|
blockquote {
|
|
margin: 14px 0;
|
|
padding: 16px 16px 14px 22px;
|
|
border-left: 4px solid var(--accent);
|
|
border-radius: 10px;
|
|
background: linear-gradient(90deg, #eef8f8 0%, #f9fdfd 100%);
|
|
color: #24313a;
|
|
font-weight: 600;
|
|
position: relative;
|
|
}
|
|
blockquote::before {
|
|
content: "“";
|
|
position: absolute;
|
|
left: 8px;
|
|
top: 2px;
|
|
font-size: 1.35rem;
|
|
line-height: 1;
|
|
color: #0b5f5f;
|
|
opacity: 0.7;
|
|
}
|
|
blockquote > :first-child { margin-top: 0; }
|
|
blockquote > :last-child { margin-bottom: 0; }
|
|
q {
|
|
color: #114f50;
|
|
font-weight: 700;
|
|
background: #edf8f8;
|
|
border-radius: 6px;
|
|
padding: 0 4px;
|
|
}
|
|
.math-inline math {
|
|
font-size: 1em;
|
|
vertical-align: middle;
|
|
}
|
|
.math-block {
|
|
margin: 10px 0;
|
|
padding: 8px 10px;
|
|
overflow-x: auto;
|
|
background: #f8fbff;
|
|
border: 1px solid #e2ecf8;
|
|
border-radius: 8px;
|
|
}
|
|
.math-block math {
|
|
font-size: 1.04em;
|
|
display: block;
|
|
}
|
|
table { border-collapse: collapse; width: 100%; }
|
|
th, td { border: 1px solid var(--line); padding: 6px 8px; }
|
|
img { max-width: 100%; height: auto; }
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<main>
|
|
<header class="header">
|
|
<h1>사냥꾼</h1>
|
|
</header>
|
|
<article class="section">
|
|
<h2>문제</h2>
|
|
<p>KOI 사냥터에는 N 마리의 동물들이 각각 특정한 위치에 살고 있다. 사냥터에 온 사냥꾼은 일직선 상에 위치한 M 개의 사대(총을 쏘는 장소)에서만 사격이 가능하다. 편의상, 일직선을 x-축이라 가정하고, 사대의 위치 x<sub>1</sub>, x<sub>2</sub>, ..., x<sub>M</sub>은 x-좌표 값이라고 하자. 각 동물이 사는 위치는 (a<sub>1</sub>, b<sub>1</sub>), (a<sub>2</sub>, b<sub>2</sub>), ..., (a<sub>N</sub>, b<sub>N</sub>)과 같이 x,y-좌표 값으로 표시하자. 동물의 위치를 나타내는 모든 좌표 값은 양의 정수이다.</p>
|
|
|
|
<p>사냥꾼이 가지고 있는 총의 사정거리가 L이라고 하면, 사냥꾼은 한 사대에서 거리가 L 보다 작거나 같은 위치의 동물들을 잡을 수 있다고 한다. 단, 사대의 위치 x<sub>i</sub>와 동물의 위치 (a<sub>j</sub>, b<sub>j</sub>) 간의 거리는 |x<sub>i</sub>-a<sub>j</sub>| + b<sub>j</sub>로 계산한다.</p>
|
|
|
|
<p>예를 들어, 아래의 그림과 같은 사냥터를 생각해 보자. (사대는 작은 사각형으로, 동물의 위치는 작은 원으로 표시되어 있다.) 사정거리 L이 4라고 하면, 점선으로 표시된 영역은 왼쪽에서 세 번째 사대에서 사냥이 가능한 영역이다.</p>
|
|
|
|
<p style="text-align: center;"><img alt="" src="data:image/jpeg;base64,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" style="width: 272px; height: 160px;" /></p>
|
|
|
|
<p>사대의 위치와 동물들의 위치가 주어졌을 때, 잡을 수 있는 동물의 수를 출력하는 프로그램을 작성하시오.</p>
|
|
</article>
|
|
<article class="section">
|
|
<h2>입력</h2>
|
|
<p>입력의 첫 줄에는 사대의 수 M (1 ≤ M ≤ 100,000), 동물의 수 N (1 ≤ N ≤ 100,000), 사정거리 L (1 ≤ L ≤ 1,000,000,000)이 빈칸을 사이에 두고 주어진다. 두 번째 줄에는 사대의 위치를 나타내는 M개의 x-좌표 값이 빈칸을 사이에 두고 양의 정수로 주어진다. 이후 N개의 각 줄에는 각 동물의 사는 위치를 나타내는 좌표 값이 x-좌표 값, y-좌표 값의 순서로 빈칸을 사이에 두고 양의 정수로 주어진다. 사대의 위치가 겹치는 경우는 없으며, 동물들의 위치가 겹치는 경우도 없다. 모든 좌표 값은 1,000,000,000보다 작거나 같은 양의 정수이다. </p>
|
|
</article>
|
|
<article class="section">
|
|
<h2>출력</h2>
|
|
<p>출력은 단 한 줄이며, 잡을 수 있는 동물의 수를 음수가 아닌 정수로 출력한다.</p>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 입력 1 복사</h2>
|
|
<pre class="sampledata" id="sample-input-1">4 8 4
|
|
6 1 4 9
|
|
7 2
|
|
3 3
|
|
4 5
|
|
5 1
|
|
2 2
|
|
1 4
|
|
8 4
|
|
9 4
|
|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 입력 2 복사</h2>
|
|
<pre class="sampledata" id="sample-input-2">1 5 3
|
|
3
|
|
2 2
|
|
1 1
|
|
5 1
|
|
4 2
|
|
3 3
|
|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 출력 1 복사</h2>
|
|
<pre class="sampledata" id="sample-output-1">6
|
|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 출력 2 복사</h2>
|
|
<pre class="sampledata" id="sample-output-2">5
|
|
</pre>
|
|
</article>
|
|
</main>
|
|
</body>
|
|
</html>
|