UVA - 10895 Matrix Transpose

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UVA - 10895
Matrix Transpose
Time Limit:3000MS Memory Limit:Unknown 64bit IO Format:%lld & %llu

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 A: Matrix Transpose 

A matrix is a rectangular array of elements, most commonly numbers. A matrix with$m$ rows and$n$ columns is said to be an$m$-by-$n$ matrix. For example,
\begin{displaymath}A=\pmatrix{1 & 3 & 2 \cr 0 & 4 & -1 \cr 0 & 0 & 0 \cr 5 & -2 & 11}\end{displaymath}

is a 4-by-3 matrix of integers.

The individual elements of a matrix are usually given lowercase symbols and are distinguished by subscripts. The$i$th row and$j$th column of matrix$A$ is usually referred to as$a_{ij}$. For example,$a_{23}=-1$. Matrix subscripts are 1-based.

The transpose of a matrix $M$, denoted$M^T$, is formed by interchanging the rows and columns of$M$. That is, the$ij$th element of$M^T$ is the$ji$th element of$M$. For example, the transpose of matrix$A$ above is:

\begin{displaymath}A^T=\pmatrix{1 & 0 & 0 & 5 \cr 3 & 4 & 0 & -2 \cr 2 & -1 & 0 & 11}\end{displaymath}

A matrix is said to be sparse if there are relatively few non-zero elements. As a$m$-by-$n$ matrix has $mn$ number of elements, storing all elements of a large sparse matrix may be inefficient as there would be many zeroes. There are a number of ways to represent sparse matrices, but essentially they are all the same: store only the non-zero elements of the matrix along with their row and column.

You are to write a program to output the transpose of a sparse matrix of integers.

Input 

You are given several sparse matrix in a row, each of them described as follows. The first line of the input corresponds to the dimension of the matrix,$m$ and$n$ (which are the number of rows and columns, respectively, of the matrix). You are then given$m$ sets of numbers, which represent the rows of the matrix. Each set consists of two lines which represents a row of the matrix. The first line of a set starts with the number $r$, which is the number of non-zero elements in that row, followed by$r$ numbers which correspond to the column indices of the non-zero elements in that row, in ascending order; the second line has $r$ integers which are the matrix elements of that row. For example, matrix$A$ above would have the following representation:
4 33 1 2 31 3 22 2 34 -103 1 2 35 -2 11
Note that for a row with all zero elements, the corresponding set would just be one number, `0', in the first line, followed by a blank line.

You may assume:

  • the dimension of the sparse matrix would not exceed 10000-by-10000,
  • the number of non-zero element would be no more than 1000,
  • each element of the matrix would be in the range of -10000 to 10000, and
  • each line has no more than 79 characters.

Output 

For each input case, the transpose of the given matrix in the same representation.

Sample Input 

4 33 1 2 31 3 22 2 34 -103 1 2 35 -2 11

Sample Output 

3 42 1 41 53 1 2 43 4 -23 1 2 42 -1 11

题意:首先给你n*m的矩阵,然后给出每行的情况。第一个数r代表该行有几个非0的数,位置是哪里,然后给出每个位置的值,求矩阵的倒置

思路:用两个vector,一个记录该列有效值所对应的行,还一个记录该位置的值

#include <iostream>#include <cstring>#include <algorithm>#include <cstdio>#include <vector>using namespace std;const int MAXN = 10010;vector<int> row[MAXN];vector<int> val[MAXN];int n, m, arr[MAXN];void print() {printf("%d %d\n", m, n);for (int i = 1; i <= m; i++) {int len = row[i].size();printf("%d", len);for (int j = 0; j < len; j++)printf(" %d", row[i][j]);if (len == 0)printf("\n\n");else {printf("\n%d", val[i][0]);for (int j = 1; j < len; j++)printf(" %d", val[i][j]);printf("\n");}}}int main() {while (scanf("%d%d", &n ,&m) != EOF) {for (int i = 0; i < MAXN; i++) {row[i].clear();val[i].clear();}int r, x;for (int i = 1; i <= n; i++) {scanf("%d", &r);for (int j = 1; j <= r; j++)scanf("%d", &arr[j]);for (int j = 1; j <= r; j++) {scanf("%d", &x);row[arr[j]].push_back(i);val[arr[j]].push_back(x);}}print();}return 0;}



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