Time Limit: 1 secs, Memory Limit: 32 MB
Karell Incorporated has designed a new exploration robot that has the ability to explore new terrains, this new robot can move in all kinds of terrain, it only needs more fuel to move in rough terrains, and less fuel in plain terrains. The only problem this robot has is that it can only move orthogonally, the robot can only move to the grids that are at the North, East, South or West of its position.
The Karell`s robot can communicate to a satellite dish to have a picture of the terrain that is going to explore, so it can select the best route to the ending point, The robot always choose the path that needs the minimum fuel to complete its exploration, however the scientist that are experimenting with the robot, need a program that computes the path that would need the minimum amount of fuel. The maximum amount of fuel that the robot can handle is 9999 units
The Terrain that the robot receives from the satellite is divided into a grid, where each cell of the grid is assigned to the amount of fuel the robot would need to pass thought that cell. The robot also receives the starting and ending coordinates of the exploration area.
The first line of the input file is the number of tests that must be examined.
The first line of the test is the number of rows and columns that the grid will contain. The rows and columns will be 0 < row100 , 0 < column100
The next lines are the data of the terrain grid
The last line of the test has the starting and ending coordinates.
One line, for each test will have the amount of fuel needed by the robot
3 5 5 1 1 5 3 2 4 1 4 2 6 3 1 1 3 3 5 2 3 1 2 2 1 1 1 1 1 1 5 5 5 4 2 2 15 1 5 1 15 1 5 3 10 1 5 2 1 1 8 13 2 15 1 1 1 4 10 10 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 10 10
10 15 19
题目分析
单源最短路径
直接dijkstra暴力搜索,
注意判断起点和终点相同的情况
按照dijkstra的想法,每次只更新与代价最小的点直接相连的点的权值
我尝试了每次只要更新了一个点,则从该点继续发散,递归更新
但是时间和内存都变大了
想想也是有可能的,按照dijkstra的想法,最坏每次是搜索整个盘,
而发散更新的话,每次都得搜索整个盘,时间一定会变长
#include <iostream> int dir[4][2] = {0, 1, 0, -1, -1, 0, 1, 0}; int row, col; int cost[105][105]; int best[105][105]; bool visited[105][105]; void print() { for (int i = 1; i <= row; ++i) { for (int j = 1; j <= col; ++j) std::cout << best[i][j] << " "; std::cout << std::endl; } std::cout << std::endl; } void refresh(int r, int c) { int tr, tc; for (int i = 0; i < 4; ++i) { tr = r + dir[i][0]; tc = c + dir[i][1]; if (tr < 1 || tr > row || tc < 1 || tc > col) continue; if (best[tr][tc] > best[r][c]+cost[tr][tc]) { best[tr][tc] = best[r][c]+cost[tr][tc]; //refresh(tr, tc); } } // print(); } int main() { int test; std::cin >> test; while (test--) { std::cin >> row >> col; for (int i = 1; i <= row; ++i) { for (int j = 1; j <= col; ++j) { std::cin >> cost[i][j]; best[i][j] = 9999; visited[i][j] = false; } } int sr, sc, er, ec; std::cin >> sr >> sc >> er >> ec; if (sr == er && sc == ec) { std::cout << cost[sr][sc] << std::endl; continue; } visited[sr][sc] = true; best[sr][sc] = cost[sr][sc]; refresh(sr, sc); while (true) { int inr, inc, min = 9999; for (int i = 1; i <= row; ++i) { for (int j = 1; j <= col; ++j) { if (!visited[i][j] && min > best[i][j]) { min = best[i][j]; inr = i; inc = j; } } } if (inr == er && inc == ec) break; visited[inr][inc] = true; refresh(inr, inc); } std::cout << best[er][ec] << std::endl; } }