实现功能:集合A上的二元关系R同时具有自反性、对称性和传递性,则称R是A上的等价关系。给定非空集合A上二元关系R的关系矩阵,判断R是否是A上的等价关系。
输入:一次输入一个关系矩阵,每一行两个相邻元素之间用一个空格隔开,输入元素的行与列分别对应关系矩阵的行与列。注:关系的基数小于12。
输出:1.Y/N(注:具备自反性为Y,不具备为N)
2.Y/N(注:具备对称性为Y,不具备为N)
3.Y/N(注:具备传递性为Y,不具备为N)
4.Y/N(注:是等价关系为Y,无等价关系为N)
总是编译失败
#include <iostream>
#include <vector>
using namespace std;
bool checkReflexive(const vector<vector<int>>& matrix) {
int size = matrix.size();
for (int i = 0; i < size; i++) {
if (matrix[i][i] != 1)
return false;
}
return true;
}
bool checkSymmetric(const vector<vector<int>>& matrix) {
int size = matrix.size();
for (int i = 0; i < size; i++) {
for (int j = i + 1; j < size; j++) {
if (matrix[i][j] != matrix[j][i])
return false;
}
}
return true;
}
bool checkTransitive(const vector<vector<int>>& matrix) {
int size = matrix.size();
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
if (matrix[i][j] == 1) {
for (int k = 0; k < size; k++) {
if (matrix[j][k] == 1 && matrix[i][k] != 1)
return false;
}
}
}
}
return true;
}
bool checkEquivalence(const vector<vector<int>>& matrix) {
return checkReflexive(matrix) && checkSymmetric(matrix) && checkTransitive(matrix);
}
int main() {
int size;
cin >> size; // 输入关系矩阵的大小
vector<vector<int>> matrix(size, vector<int>(size));
// 输入关系矩阵
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
cin >> matrix[i][j];
}
}
// 判断等价关系并输出结果
cout << (checkReflexive(matrix) ? "Y" : "N") << endl;
cout << (checkSymmetric(matrix) ? "Y" : "N") << endl;
cout << (checkTransitive(matrix) ? "Y" : "N") << endl;
cout << (checkEquivalence(matrix) ? "Y" : "N") << endl;
return 0;
}
希望采纳婴一下
#include <iostream>
#include <vector>
using namespace std;
// 关系矩阵
vector<vector<int>> matrix;
// 基数
int n;
// 检查自反性
bool checkReflexive() {
for (int i = 0; i < n; i++) {
if (matrix[i][i] == 0) return false;
}
return true;
}
// 检查对称性
bool checkSymmetric() {
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
if (matrix[i][j] != matrix[j][i]) return false;
}
}
return true;
}
// 检查传递性
bool checkTransitive() {
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
for (int k = 0; k < n; k++) {
if (matrix[i][j] == 1 && matrix[j][k] == 1 && matrix[i][k] == 0)
return false;
}
}
}
return true;
}
int main() {
// 测试用例1
n = 3;
matrix = {{1, 1, 1}, {1, 1, 1}, {1, 1, 1}};
if (checkReflexive()) cout << "Y" << endl;
else cout << "N" << endl;
if (checkSymmetric() && checkTransitive()) cout << "Y" << endl;
else cout << "N" << endl;
// 测试用例2
n = 3;
matrix = {{1, 1, 0}, {1, 1, 1}, {0, 1, 1}};
if (checkReflexive()) cout << "Y" << endl;
else cout << "N" << endl;
if (checkSymmetric() && checkTransitive()) cout << "Y" << endl;
else cout << "N" << endl;
}
以下是使用C++实现功能的代码:
#include <iostream>
#include <vector>
using namespace std;
int main() {
int n; // 关系的基数
cin >> n;
vector<vector<int>> R(n, vector<int>(n)); // 关系矩阵
// 输入关系矩阵
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
cin >> R[i][j];
}
}
// 判断自反性
bool reflexive = true;
for (int i = 0; i < n; i++) {
if (R[i][i] != 1) {
reflexive = false;
break;
}
}
if (reflexive) {
// 判断对称性
bool symmetric = true;
for (int i = 0; i < n; i++) {
for (int j = i + 1; j < n; j++) {
if (R[i][j] != R[j][i]) {
symmetric = false;
break;
}
}
if (!symmetric) {
break;
}
}
if (symmetric) {
// 判断传递性
bool transitive = true;
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
if (R[i][j] == 1) {
for (int k = 0; k < n; k++) {
if (R[j][k] == 1 && R[i][k] == 0) {
transitive = false;
break;
}
}
if (!transitive) {
break;
}
}
}
if (!transitive) {
break;
}
}
if (transitive) {
cout << "Y" << endl;
} else {
cout << "N" << endl;
}
} else {
cout << "N" << endl;
}
} else {
cout << "N" << endl;
}
return 0;
}
下面是使用C++实现判断等价关系的示例代码:
#include <iostream>
#include <vector>
using namespace std;
bool checkReflexive(const vector<vector<int>>& matrix) {
int n = matrix.size();
for (int i = 0; i < n; i++) {
if (matrix[i][i] != 1) {
return false;
}
}
return true;
}
bool checkSymmetric(const vector<vector<int>>& matrix) {
int n = matrix.size();
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
if (matrix[i][j] != matrix[j][i]) {
return false;
}
}
}
return true;
}
bool checkTransitive(const vector<vector<int>>& matrix) {
int n = matrix.size();
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
if (matrix[i][j] == 1) {
for (int k = 0; k < n; k++) {
if (matrix[j][k] == 1 && matrix[i][k] != 1) {
return false;
}
}
}
}
}
return true;
}
bool checkEquivalence(const vector<vector<int>>& matrix) {
return checkReflexive(matrix) && checkSymmetric(matrix) && checkTransitive(matrix);
}
int main() {
int n;
cout << "Enter the size of the relation matrix: ";
cin >> n;
vector<vector<int>> matrix(n, vector<int>(n));
cout << "Enter the relation matrix: " << endl;
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
cin >> matrix[i][j];
}
}
bool isReflexive = checkReflexive(matrix);
bool isSymmetric = checkSymmetric(matrix);
bool isTransitive = checkTransitive(matrix);
bool isEquivalence = checkEquivalence(matrix);
cout << "Reflexive: " << (isReflexive ? "Y" : "N") << endl;
cout << "Symmetric: " << (isSymmetric ? "Y" : "N") << endl;
cout << "Transitive: " << (isTransitive ? "Y" : "N") << endl;
cout << "Equivalence: " << (isEquivalence ? "Y" : "N") << endl;
return 0;
}
该代码首先定义了四个函数来检查关系矩阵的自反性、对称性、传递性和等价性。然后,通过从标准输入读取关系矩阵,并使用这些函数进行判断。最后,输出判断结果。
请注意,该代码假设输入的关系矩阵是一个正方形矩阵,并且元素只能是0或1。如果你的关系矩阵具有其他特点或需要处理其他类型的元素,请根据实际情况进行适当修改。
离散数学的应用(C语言实现)
非常详细
可以参考下
https://blog.csdn.net/qq_60545192/article/details/128860324
上图
代码
#include <iostream>
using namespace std;
const int N = 12; // 最多12个元素
int relation[N][N];
// 判断自反性
bool isReflexive() {
for (int i = 0; i < N; i++) {
if (relation[i][i] == 0) return false;
}
return true;
}
// 判断对称性
bool isSymmetric() {
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
if (relation[i][j] != relation[j][i])
return false;
}
}
return true;
}
// 判断传递性
bool isTransitive() {
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
for (int k = 0; k < N; k++) {
if (relation[i][j] == 1 && relation[j][k] ==1 && relation[i][k] ==0)
return false;
}
}
}
return true;
}
int main() {
// 输入关系矩阵
// ...
cout << isReflexive() << endl;
cout << isSymmetric() << endl;
cout << isTransitive() << endl;
if (isReflexive() && isSymmetric() && isTransitive()) {
cout << "Y" << endl;
} else {
cout << "N" << endl;
}
}
编译失败的具体错误是啥呢,C语言实现的,给定非空集合A上二元关系R的关系矩阵,判断R是否是A上的等价关系代码,帮你找到一位博主的代码,跟你的需求完全一致,提供了完整的代码,可以直接参考:
C语言实现离散数学二元关系及其性质:https://blog.csdn.net/m0_55986434/article/details/122856310
可参考
#include <stdio.h>
int main() {
int matrix[12][12];
int size;
printf("输入集合A中的元素数量: ");
scanf("%d", &size);
printf("输入关系矩阵:\n");
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
scanf("%d", &matrix[i][j]);
}
}
int reflexive = 1;
int symmetric = 1;
int transitive = 1;
for (int i = 0; i < size; i++) {
if (matrix[i][i] != 1) {
reflexive = 0;
break;
}
}
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
if (matrix[i][j] != matrix[j][i]) {
symmetric = 0;
break;
}
}
if (symmetric == 0) {
break;
}
}
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
for (int k = 0; k < size; k++) {
if (matrix[i][j] == 1 && matrix[j][k] == 1 && matrix[i][k] != 1) {
transitive = 0;
break;
}
}
if (transitive == 0) {
break;
}
}
if (transitive == 0) {
break;
}
}
printf("自反性: %s\n", (reflexive == 1) ? "Y" : "N");
printf("对称性: %s\n", (symmetric == 1) ? "Y" : "N");
printf("传递性: %s\n", (transitive == 1) ? "Y" : "N");
printf("等价关系: %s\n", (reflexive == 1 && symmetric == 1 && transitive == 1) ? "Y" : "N");
return 0;
}
引用chatgpt内容作答:
运行结果:
#include <iostream>
#include <vector>
using namespace std;
bool isReflexive(vector<vector<int>>& matrix) {
int n = matrix.size();
for (int i = 0; i < n; i++) {
if (matrix[i][i] != 1) {
return false;
}
}
return true;
}
bool isSymmetric(vector<vector<int>>& matrix) {
int n = matrix.size();
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
if (matrix[i][j] != matrix[j][i]) {
return false;
}
}
}
return true;
}
bool isTransitive(vector<vector<int>>& matrix) {
int n = matrix.size();
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
if (matrix[i][j] == 1) {
for (int k = 0; k < n; k++) {
if (matrix[j][k] == 1 && matrix[i][k] != 1) {
return false;
}
}
}
}
}
return true;
}
bool isEquivalence(vector<vector<int>>& matrix) {
return isReflexive(matrix) && isSymmetric(matrix) && isTransitive(matrix);
}
int main() {
int n;
cout << "Enter the size of the matrix: ";
cin >> n;
vector<vector<int>> matrix(n, vector<int>(n, 0));
cout << "Enter the matrix elements:" << endl;
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
cin >> matrix[i][j];
}
}
bool reflexive = isReflexive(matrix);
bool symmetric = isSymmetric(matrix);
bool transitive = isTransitive(matrix);
bool equivalence = isEquivalence(matrix);
cout << (reflexive ? "Y" : "N") << endl;
cout << (symmetric ? "Y" : "N") << endl;
cout << (transitive ? "Y" : "N") << endl;
cout << (equivalence ? "Y" : "N") << endl;
return 0;
}
这段代码会要求您输入关系矩阵的大小和元素,然后输出自反性、对称性、传递性以及是否是等价关系的结果(用"Y"表示具备,"N"表示不具备)。请确保按照正确的格式输入关系矩阵,并根据您的需求进行修改和扩展。希望这可以帮助到您!如果您还有其他问题,请随时提问。
发来瞧瞧?戳我博客,里面有例子
回答部分参考、引用ChatGpt以便为您提供更准确的答案:
在Android 11及以上版本,保存GIF到相册和保存音频到本地与保存图片和视频类似,只需对应使用正确的媒体类型进行保存即可。下面是保存GIF和音频的基本步骤:
保存GIF到相册:
File file = new File(Environment.getExternalStorageDirectory(), "your_gif.gif");
// 将GIF文件保存到指定目录
// ...
如果使用MediaStore API,可以通过以下代码保存GIF文件:ContentValues values = new ContentValues();
values.put(MediaStore.Images.Media.DISPLAY_NAME, "your_gif.gif");
values.put(MediaStore.Images.Media.MIME_TYPE, "image/gif");
values.put(MediaStore.Images.Media.RELATIVE_PATH, Environment.DIRECTORY_PICTURES);
Uri uri = getContentResolver().insert(MediaStore.Images.Media.EXTERNAL_CONTENT_URI, values);
// 将GIF文件写入获取到的Uri
// ...
保存音频到本地:
File file = new File(Environment.getExternalStorageDirectory(), "your_audio.mp3");
// 将音频文件保存到指定目录
// ...
请注意,以上代码仅为基本示例,实际保存过程中可能需要处理文件读写的异常情况,并进行必要的错误处理和逻辑判断。