169 lines
37 KiB
HTML
169 lines
37 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 1967 - 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>트리의 지름</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>트리(tree)는 사이클이 없는 무방향 그래프이다. 트리에서는 어떤 두 노드를 선택해도 둘 사이에 경로가 항상 하나만 존재하게 된다. 트리에서 어떤 두 노드를 선택해서 양쪽으로 쫙 당길 때, 가장 길게 늘어나는 경우가 있을 것이다. 이럴 때 트리의 모든 노드들은 이 두 노드를 지름의 끝 점으로 하는 원 안에 들어가게 된다.</p>
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<p><img alt="" height="123" 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" width="310" /></p>
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<p>이런 두 노드 사이의 경로의 길이를 트리의 지름이라고 한다. 정확히 정의하자면 트리에 존재하는 모든 경로들 중에서 가장 긴 것의 길이를 말한다.</p>
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<p>입력으로 루트가 있는 트리를 가중치가 있는 간선들로 줄 때, 트리의 지름을 구해서 출력하는 프로그램을 작성하시오. 아래와 같은 트리가 주어진다면 트리의 지름은 45가 된다.</p>
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<p><img alt="" height="152" 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" width="312" /></p>
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<p>트리의 노드는 1부터 n까지 번호가 매겨져 있다.</p>
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</article>
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<article class="section">
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<h2>입력</h2>
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<p>파일의 첫 번째 줄은 노드의 개수 n(1 ≤ n ≤ 10,000)이다. 둘째 줄부터 n-1개의 줄에 각 간선에 대한 정보가 들어온다. 간선에 대한 정보는 세 개의 정수로 이루어져 있다. 첫 번째 정수는 간선이 연결하는 두 노드 중 부모 노드의 번호를 나타내고, 두 번째 정수는 자식 노드를, 세 번째 정수는 간선의 가중치를 나타낸다. 간선에 대한 정보는 부모 노드의 번호가 작은 것이 먼저 입력되고, 부모 노드의 번호가 같으면 자식 노드의 번호가 작은 것이 먼저 입력된다. 루트 노드의 번호는 항상 1이라고 가정하며, 간선의 가중치는 100보다 크지 않은 양의 정수이다.</p>
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</article>
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<article class="section">
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<h2>출력</h2>
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<p>첫째 줄에 트리의 지름을 출력한다.</p>
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</article>
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<article class="section">
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<h2>예제 입력 1 복사</h2>
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<pre class="sampledata" id="sample-input-1">12
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1 2 3
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1 3 2
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2 4 5
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3 5 11
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3 6 9
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4 7 1
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4 8 7
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5 9 15
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5 10 4
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|
6 11 6
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|
6 12 10
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</pre>
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</article>
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<article class="section">
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<h2>예제 출력 1 복사</h2>
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|
<pre class="sampledata" id="sample-output-1">45
|
|
</pre>
|
|
</article>
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</main>
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</body>
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</html>
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