186 lines
42 KiB
HTML
186 lines
42 KiB
HTML
<!DOCTYPE html>
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<html lang="ko">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>BOJ 9063 - Offline</title>
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<style>
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:root {
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--bg: #fafaf8;
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--paper: #ffffff;
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--ink: #1e1f24;
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--muted: #6a6d75;
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--line: #d8dce3;
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--accent: #0d6e6e;
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--code-bg: #f4f6fb;
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}
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* { box-sizing: border-box; }
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body {
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margin: 0;
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background:
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radial-gradient(circle at 15% 0%, #f0efe9 0%, transparent 42%),
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radial-gradient(circle at 85% 20%, #e7f1f2 0%, transparent 38%),
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var(--bg);
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color: var(--ink);
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font-family: "Noto Sans KR", "Pretendard", "Apple SD Gothic Neo", sans-serif;
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line-height: 1.65;
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}
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main {
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max-width: 980px;
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margin: 0 auto;
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padding: 24px 16px 56px;
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}
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.header {
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background: var(--paper);
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border: 1px solid var(--line);
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border-radius: 14px;
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padding: 18px 20px;
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margin-bottom: 18px;
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}
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.header h1 { margin: 0 0 6px; font-size: 1.5rem; }
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.header p { margin: 0; color: var(--muted); font-size: 0.95rem; }
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.header a { color: var(--accent); text-decoration: none; }
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.section {
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background: var(--paper);
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border: 1px solid var(--line);
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border-radius: 14px;
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padding: 16px 18px;
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margin-bottom: 14px;
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overflow-x: auto;
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}
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h2 {
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margin: 0 0 10px;
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font-size: 1.05rem;
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color: var(--accent);
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border-bottom: 1px solid var(--line);
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padding-bottom: 8px;
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}
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pre, code {
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font-family: "JetBrains Mono", "Fira Code", monospace;
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background: var(--code-bg);
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}
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pre {
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padding: 12px;
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border-radius: 10px;
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border: 1px solid #e7ebf2;
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overflow: auto;
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}
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blockquote {
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margin: 14px 0;
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padding: 16px 16px 14px 22px;
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border-left: 4px solid var(--accent);
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border-radius: 10px;
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background: linear-gradient(90deg, #eef8f8 0%, #f9fdfd 100%);
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color: #24313a;
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font-weight: 600;
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position: relative;
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}
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blockquote::before {
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content: "“";
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position: absolute;
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left: 8px;
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top: 2px;
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font-size: 1.35rem;
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line-height: 1;
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color: #0b5f5f;
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opacity: 0.7;
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}
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blockquote > :first-child { margin-top: 0; }
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blockquote > :last-child { margin-bottom: 0; }
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q {
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color: #114f50;
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font-weight: 700;
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background: #edf8f8;
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border-radius: 6px;
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padding: 0 4px;
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}
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.math-inline math {
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font-size: 1em;
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vertical-align: middle;
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}
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.math-block {
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margin: 10px 0;
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padding: 8px 10px;
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overflow-x: auto;
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background: #f8fbff;
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border: 1px solid #e2ecf8;
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border-radius: 8px;
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}
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.math-block math {
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font-size: 1.04em;
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display: block;
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}
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table { border-collapse: collapse; width: 100%; }
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th, td { border: 1px solid var(--line); padding: 6px 8px; }
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img { max-width: 100%; height: auto; }
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</style>
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</head>
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<body>
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<main>
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<header class="header">
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<h1>대지</h1>
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</header>
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<article class="section">
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<h2>문제</h2>
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<p> 임씨는 1950 년 한국전쟁으로 많은 손해를 본 사람들 중 하나다. 전쟁 통에 손해보지 않은 사람이 어디 있을까 만은 그는 6.25 가 일어나기 전만 해도 충청도 지방에 넓은 대지를 소유한 큰 부자였다. 전쟁이 나자 임씨는 땅문서와 값 나가는 것들만 챙겨서 일본으로 피난을 가지만 피난 중에 그만 땅문서를 잃어버리고 만다. 전쟁이 끝난 후에 임씨의 땅은 이미 다른 사람들의 논밭이 되어 있었고, 임씨는 땅을 되찾으려 했지만 문서가 없으니 생떼 쓰는 것과 다를 바 없었다. 이러다가 임씨는 길바닥에 나앉게 생겼다.</p>
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<p>이때, 임씨에게 좋은 생각이 떠올랐으니 바로 자신이 습관처럼 땅 깊숙이 뭔가 표식을 해놓았던 사실이다. 임씨는 한적할 때마다 자신의 논밭을 거닐다가 땅속 깊은 곳에 자신의 이름이 씌어진 옥구슬을 묻어놓았던 것이다. 즉, 어떤 지점에서 그의 이름이 적힌 옥구슬이 나온다면 그 지점은 예전에 임씨의 땅이었다는 것을 증명하는 것이다.</p>
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<p>임씨는 즉시 민사소송을 통해 자신의 땅을 찾고자 했고 논리적인 근거를 들어 옥구슬이 나오는 지점이 원래 자신의 땅의 한 지점이었다는 것을 주장하여 결국 담당판사를 설득하는 데에 성공하였다. 담당판사는 다음과 같은 판결을 내렸다. “ 6.25 이전의 개인소유 대지들은 99%가 남북, 동서 방향으로 평행한 직사각형 모양이었으므로, 임씨의 이름이 새겨진 옥구슬이 나오는 모든 지점을 포함하는 가장 작은 남북, 동서 방향으로 평행한 변을 갖는 직사각형의 대지를 임씨의 소유로 인정한다.” 임씨는 많은 손해를 보는 셈이지만 더 이상을 요구할 만한 근거가 없었기 때문에 이 판결을 따르기로 했다.</p>
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<p>임씨의 이름이 새겨진 옥구슬의 위치 N 개가 주어질 때에, 임씨에게 돌아갈 대지의 넓이를 계산하는 프로그램을 작성하시오. 단, 옥구슬의 위치는 2 차원 정수 좌표로 주어지고 옥구슬은 같은 위치에 여러 개가 발견될 수도 있으며, x 축의 양의방향을 동쪽, y 축의 양의방향을 북쪽이라고 가정한다. </p>
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<p><img alt="" 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" style="height:182px; width:500px" /></p>
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|
<p>예를 들어 위와 같이 (2, 1), (3, 2), (5, 2), (3, 4) 네 점에서 옥구슬을 발견하였다면, 임씨에게 돌아갈 대지는 (2, 1), (5, 1), (2, 4), (5, 4)를 네 꼭짓점으로 하는 직사각형이며, 넓이는 (5 - 2) × (4 - 1) = 9 가 된다. </p>
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</article>
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|
<article class="section">
|
|
<h2>입력</h2>
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|
<p>첫째 줄에는 점의 개수 N (1 ≤ N ≤ 100,000) 이 주어진다. 이어지는 N 줄에는 각 점의 좌표가 두 개의 정수로 한 줄에 하나씩 주어진다. 각각의 좌표는 -10,000 이상 10,000 이하의 정수이다. </p>
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|
</article>
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|
<article class="section">
|
|
<h2>출력</h2>
|
|
<p>첫째 줄에 N 개의 점을 둘러싸는 최소 크기의 직사각형의 넓이를 출력하시오. </p>
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</article>
|
|
<article class="section">
|
|
<h2>예제 입력 1 복사</h2>
|
|
<pre class="sampledata" id="sample-input-1">3
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|
20 24
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40 21
|
|
10 12
|
|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 입력 2 복사</h2>
|
|
<pre class="sampledata" id="sample-input-2">1
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15 13
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|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 입력 3 복사</h2>
|
|
<pre class="sampledata" id="sample-input-3">4
|
|
2 1
|
|
3 2
|
|
5 2
|
|
3 4
|
|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 출력 1 복사</h2>
|
|
<pre class="sampledata" id="sample-output-1">360
|
|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 출력 2 복사</h2>
|
|
<pre class="sampledata" id="sample-output-2">0
|
|
</pre>
|
|
</article>
|
|
<article class="section">
|
|
<h2>예제 출력 3 복사</h2>
|
|
<pre class="sampledata" id="sample-output-3">9
|
|
</pre>
|
|
</article>
|
|
</main>
|
|
</body>
|
|
</html>
|