mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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187 lines
19 KiB
JSON
187 lines
19 KiB
JSON
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"title": "Minimum Cost of a Path With Special Roads",
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"content": "<p>You are given an array <code>start</code> where <code>start = [startX, startY]</code> represents your initial position <code>(startX, startY)</code> in a 2D space. You are also given the array <code>target</code> where <code>target = [targetX, targetY]</code> represents your target position <code>(targetX, targetY)</code>.</p>\n\n<p>The cost of going from a position <code>(x1, y1)</code> to any other position in the space <code>(x2, y2)</code> is <code>|x2 - x1| + |y2 - y1|</code>.</p>\n\n<p>There are also some special roads. You are given a 2D array <code>specialRoads</code> where <code>specialRoads[i] = [x1<sub>i</sub>, y1<sub>i</sub>, x2<sub>i</sub>, y2<sub>i</sub>, cost<sub>i</sub>]</code> indicates that the <code>i<sup>th</sup></code> special road can take you from <code>(x1<sub>i</sub>, y1<sub>i</sub>)</code> to <code>(x2<sub>i</sub>, y2<sub>i</sub>)</code> with a cost equal to <code>cost<sub>i</sub></code>. You can use each special road any number of times.</p>\n\n<p>Return <em>the minimum cost required to go from</em> <code>(startX, startY)</code> to <code>(targetX, targetY)</code>.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> start = [1,1], target = [4,5], specialRoads = [[1,2,3,3,2],[3,4,4,5,1]]\n<strong>Output:</strong> 5\n<strong>Explanation:</strong> The optimal path from (1,1) to (4,5) is the following:\n- (1,1) -> (1,2). This move has a cost of |1 - 1| + |2 - 1| = 1.\n- (1,2) -> (3,3). This move uses the first special edge, the cost is 2.\n- (3,3) -> (3,4). This move has a cost of |3 - 3| + |4 - 3| = 1.\n- (3,4) -> (4,5). This move uses the second special edge, the cost is 1.\nSo the total cost is 1 + 2 + 1 + 1 = 5.\nIt can be shown that we cannot achieve a smaller total cost than 5.\n</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> start = [3,2], target = [5,7], specialRoads = [[3,2,3,4,4],[3,3,5,5,5],[3,4,5,6,6]]\n<strong>Output:</strong> 7\n<strong>Explanation:</strong> It is optimal to not use any special edges and go directly from the starting to the ending position with a cost |5 - 3| + |7 - 2| = 7.\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>start.length == target.length == 2</code></li>\n\t<li><code>1 <= startX <= targetX <= 10<sup>5</sup></code></li>\n\t<li><code>1 <= startY <= targetY <= 10<sup>5</sup></code></li>\n\t<li><code>1 <= specialRoads.length <= 200</code></li>\n\t<li><code>specialRoads[i].length == 5</code></li>\n\t<li><code>startX <= x1<sub>i</sub>, x2<sub>i</sub> <= targetX</code></li>\n\t<li><code>startY <= y1<sub>i</sub>, y2<sub>i</sub> <= targetY</code></li>\n\t<li><code>1 <= cost<sub>i</sub> <= 10<sup>5</sup></code></li>\n</ul>\n",
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"code": "# @param {Integer[]} start\n# @param {Integer[]} target\n# @param {Integer[][]} special_roads\n# @return {Integer}\ndef minimum_cost(start, target, special_roads)\n \nend",
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"It can be proven that it is optimal to go only to the positions that are either the start or the end of a special road or the target position.",
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"Consider all positions given to you as nodes in a graph, and the edges of the graph are the special roads.",
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"Now the problem is equivalent to finding the shortest path in a directed graph."
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