"use strict"; const {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0]; const {useMDXComponents: _provideComponents} = arguments[0]; function _createMdxContent(props) { const _components = { a: "a", annotation: "annotation", code: "code", figure: "figure", h2: "h2", img: "img", li: "li", math: "math", mi: "mi", mo: "mo", mrow: "mrow", p: "p", pre: "pre", semantics: "semantics", span: "span", ul: "ul", ..._provideComponents(), ...props.components }; return _jsxs(_Fragment, { children: [_jsx(_components.p, { children: _jsx(_components.a, { href: "https://www.acmicpc.net/problem/11779", children: "문제 링크" }) }), "\n", _jsx(_components.h2, { children: "문제" }), "\n", _jsx(_components.p, { children: "n(1≤n≤1,000)개의 도시가 있다. 그리고 한 도시에서 출발하여 다른 도시에 도착하는 m(1≤m≤100,000)개의 버스가 있다. 우리는 A번째 도시에서 B번째 도시까지 가는데 드는 버스 비용을 최소화 시키려고 한다. 그러면 A번째 도시에서 B번째 도시 까지 가는데 드는 최소비용과 경로를 출력하여라. 항상 시작점에서 도착점으로의 경로가 존재한다." }), "\n", _jsx(_components.h2, { children: "입력" }), "\n", _jsx(_components.p, { children: "첫째 줄에 도시의 개수 n(1≤n≤1,000)이 주어지고 둘째 줄에는 버스의 개수 m(1≤m≤100,000)이 주어진다. 그리고 셋째 줄부터 m+2줄까지 다음과 같은 버스의 정보가 주어진다. 먼저 처음에는 그 버스의 출발 도시의 번호가 주어진다. 그리고 그 다음에는 도착지의 도시 번호가 주어지고 또 그 버스 비용이 주어진다. 버스 비용은 0보다 크거나 같고, 100,000보다 작은 정수이다." }), "\n", _jsx(_components.p, { children: "그리고 m+3째 줄에는 우리가 구하고자 하는 구간 출발점의 도시번호와 도착점의 도시번호가 주어진다." }), "\n", _jsx(_components.h2, { children: "출력" }), "\n", _jsx(_components.p, { children: "첫째 줄에 출발 도시에서 도착 도시까지 가는데 드는 최소 비용을 출력한다." }), "\n", _jsx(_components.p, { children: "둘째 줄에는 그러한 최소 비용을 갖는 경로에 포함되어있는 도시의 개수를 출력한다. 출발 도시와 도착 도시도 포함한다." }), "\n", _jsx(_components.p, { children: "셋째 줄에는 최소 비용을 갖는 경로를 방문하는 도시 순서대로 출력한다. 경로가 여러가지인 경우 아무거나 하나 출력한다." }), "\n", _jsx(_components.h2, { children: "풀이" }), "\n", _jsx(_components.p, { children: "최소 비용 자체는 다익스트라로 구할 수 있지만, 이 문제는 실제 경로도 함께 출력해야 한다. 그래서 거리 갱신이 일어날 때 어떤 정점을 통해 왔는지 부모 정보도 같이 저장해야 한다." }), "\n", _jsx(_components.p, { children: "코드에서는 dist가 더 좋아질 때마다 parent를 기록한다. 최단 거리 계산이 끝난 뒤에는 도착점에서 시작점까지 부모를 따라 거꾸로 올라가면 경로를 복원할 수 있다." }), "\n", _jsx(_components.p, { children: "즉 최단 거리 문제에 역추적 하나가 더 붙은 형태다." }), "\n", _jsx(_components.h2, { children: "코드" }), "\n", _jsx(_components.figure, { "data-rehype-pretty-code-figure": "", children: _jsx(_components.pre, { style: { backgroundColor: "#2e3440ff", color: "#d8dee9ff" }, tabIndex: "0", "data-language": "java", "data-theme": "nord", children: _jsxs(_components.code, { "data-language": "java", "data-theme": "nord", style: { display: "grid" }, children: [_jsxs(_components.span, { "data-line": "", children: [_jsx(_components.span, { style: { color: "#81A1C1" }, children: "import" }), _jsx(_components.span, { style: { color: "#8FBCBB" }, children: " java" }), _jsx(_components.span, { style: { color: "#ECEFF4" }, children: "." }), _jsx(_components.span, { style: { color: "#8FBCBB" }, children: "io" }), _jsx(_components.span, { style: { color: "#ECEFF4" }, children: "." }), _jsx(_components.span, { style: { color: "#81A1C1" }, children: "*;" })] }), 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_jsxs(_components.span, { className: "katex-html", "aria-hidden": "true", children: [_jsxs(_components.span, { className: "base", children: [_jsx(_components.span, { className: "strut", style: { height: "1em", verticalAlign: "-0.25em" } }), _jsx(_components.span, { className: "mord mathnormal", style: { marginRight: "0.0278em" }, children: "O" }), _jsx(_components.span, { className: "mopen", children: "(" }), _jsx(_components.span, { className: "mord mathnormal", style: { marginRight: "0.2222em" }, children: "V" }), _jsx(_components.span, { className: "mspace", style: { marginRight: "0.2222em" } }), _jsx(_components.span, { className: "mbin", children: "+" }), _jsx(_components.span, { className: "mspace", style: { marginRight: "0.2222em" } })] }), _jsxs(_components.span, { className: "base", children: [_jsx(_components.span, { className: "strut", style: { height: "1em", verticalAlign: "-0.25em" } }), _jsx(_components.span, { className: "mord mathnormal", style: { marginRight: 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BOJ 11779 - 최소비용 구하기 2