Antenna Placement
Time Limit: 1000MS |
|
Memory Limit: 65536K |
Total Submissions: 6991 |
|
Accepted: 3466 |
Description
The Global aerial Centre have been allotted the task of building the fifth generation of mobile phone nets in swed En. The most striking reason so they got the job, is their discovery of a new, highly noise resistant, antenna. It's called 4DAir, and comes in four types. Each type can is transmit and receive signals in a direction aligned with a (slightly skewed) latitudinal and Longitudin Al Grid, because of the interacting electromagnetic field of the Earth. The four types correspond to antennas operating in the directions North, west, south, and east, respectively. Below is a example picture of places of interest, depicted by twelve small rings, and nine 4DAir antennas depicted by ell Ipses covering them.
Obviously, it is desirable to use as few antennas as possible, but still provide coverages for each place of interest. We model The problem as follows:let A is a rectangular matrix describing the surface of Sweden, where an entry of a eithe R is a point of interest, which must are covered by at least one antenna, or empty space. Antennas can only is positioned at the entry in A. When an antenna was placed at row R and column C, this entry was considered covered, but also one of the neighbouring Entrie S (c+1,r), (c,r+1), (C-1,r), or (C,R-1), is covered depending on the type chosen for this particular antenna. What's the least number of antennas for which there exists a placement in a such so all points of interest are covered?
Input
The first row of input is a single positive an integer n, specifying the number of scenarios that follow. Each scenario begins with a row containing the positive integers h and W, with 1 <= h <= and 0 < W <= 10. Thereafter is a matrix presented, describing the points of interest in Sweden in the form of H lines, each containing w CH Aracters from the set [' * ', ' o ']. A ' * '-character symbolises a point of interest, whereas a ' O '-character represents open space.
Output
For each scenario, output the minimum number of antennas necessary to cover all ' * '-entries in the scenario ' s matrix, on a row of its own.
Sample Input
9ooo**oooo**oo*ooo*o*oo**o**ooooooooo*******ooo*o*oo*oo*******oo10 1***o******
Sample Output
175
Source
Svenskt Mästerskap I programmering/norgesmesterskapet 2001
Minimum path overlay for a non-binary graph = number of vertices – maximum binary match/2;
details, click here
1#include <stdio.h>2#include <iostream>3#include <queue>4#include <string.h>5 using namespacestd;6 BOOLmap[ -][ -] ;7 intvis[ -][ -] ;8 inta[ -][ -] ;9 intGirl [ -] ;Ten BOOLsta[ -] ; One intCNT; A intRow, col; - Charst[ -] ; - intmove[][2] = {1,0,0,1, -1,0,0, -1} ; the - BOOLHungary (intx) - { - for(inti =1; I <= CNT; i++) { + if(Map[x][i] && sta[i] = =false) { -Sta[i] =true ; + if(Girl[i] = =0||Hungary (Girl[i])) { AGirl[i] =x; at return true ; - } - } - } - return false ; - } in - intMain () to { + //freopen ("A.txt", "R", stdin); - intT; theCIN >>T; * while(t--) { $scanf ("%d%d", &row, &col);Panax Notoginseng GetChar (); -CNT =0 ; thememset (Vis,-1,sizeof(Vis)); +memset (Map,0,sizeof(map)); AMemset (A,-1,sizeof(a)); theMemset (Girl,0,sizeof(Girl)); + for(inti =0; i < row; i++) { - gets (ST); $ for(intj =0; J < Col; J + +) { $ if(St[j] = ='*') { -A[i +1][j +1] =1+ cnt++; - } the } - }Wuyi /*for (int i = 1; I <= row; i++) { the For (int j = 1; J <= Col; j + +) { - printf ("%d", a[i][j]); Wu } - puts (""); About }*/ $ for(inti =1; I <= row; i++) { - for(intj =1; J <= Col; J + +) { - if(A[i][j]! =-1) { - for(intK =0; K <4; k++) { A intx = i + move[k][0] ; + inty = j + move[k][1] ; the if(A[x] [y]! =-1) -map[a[i][j] [a[x][y]] =1 ; $ } the } the } the } the /*for (int i = 1; I <= cnt; i++) { - For (int j = 1; J <= CNT; j + +) { in printf ("%d", map[i][j]); the } the puts (""); About }*/ the intall =0 ; the for(inti =1; I <= CNT; i++) { thememset (STA,0,sizeof(STA)); + if(Hungary (i)) -All + + ; the }Bayi //printf ("cnt =%d, all =%d\n", cnt, all); theprintf ("%d\n", Cnt-all/2) ; the } - return 0 ; -}
View Code
Antenna Placement (Hungarian algorithm, least path overlay)