c++实现单纯形法现行规划问题的求解(推荐)
在本程序中默认该现行规划问题有最优解
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针对此问题:
#includeusing namespace std; int check(float *sigema, int m) { for (int i = 1; i <= m ; i++) { if (sigema[i] > 0) { return 0; } } return 1; } //此程序已经化为标准型的线性规划问题中,且默认有最优解 int main(int argc, char* argv[]) { //数据输入部分 int m, n; cout << "请输入变量个数:"; cin >> m; cout << "请输入不等式个数:"; cin >> n; float **matrix = new float*[n + 1]; //系数矩阵 for (int i = 1; i <= n; i++) { matrix[i] = new float[m + 2]; } float *cj = new float[m + 1]; float *cB = new float[n + 1]; //基变量系数 int *XB = new int[n + 1]; //用来标注基变量x的下标 float *b = new float[n + 1]; float *sigema = new float[n + 1]; float *sita = new float[n + 1]; //初始化 for (int i = 0; i <= m; i++) { cj[i] = 0; } for (int i = 0; i <= n; i++) { cB[i] = 0; XB[i] = 0; b[i] = 0; sigema[i] = 0; sita[i] = 0; } cout << "请输入目标函数系数(用空格间开):" << endl; for (int i = 1; i <= m; i++) { cin >> cj[i]; } cout << "请输入各不等式的系数和常量(用空格间开):" << endl; for (int i = 1; i <= n; i++) { cout << "不等式" << i << ": "; for (int j = 1; j <= m + 1; j++) { cin >> matrix[i][j]; } } cout << "请输入目标函数中基变量下标:" << endl; for (int i = 1; i <= n; i++) { cin >> XB[i]; cB[i] = cj[XB[i]]; //常量 b[i] = matrix[i][m + 1]; } //计算检验数 for (int i = 1; i <= m; i++) { sigema[i] = cj[i]; for (int j = 1; j <= n; j++) { sigema[i] -= cB[j] * matrix[j][i]; } } while (check(sigema, m) == 0) { //寻找入基变量 float maxn = sigema[1]; int sigema_xindex = 0; float sigema_xcoefficient = 0; for (int i = 1; i <= m; i++) { if (maxn <= sigema[i]) { maxn = sigema[i]; sigema_xindex = i; sigema_xcoefficient = cj[i]; } } //计算sita for (int i = 1; i <= n; i++) { if (matrix[i][sigema_xindex] > 0) { sita[i] = b[i] / matrix[i][sigema_xindex]; } else { sita[i] = 9999; //表示sita值为负数 } } //寻找出基变量 float minn = sita[1]; int sita_xindex = 0; for (int i = 1; i <= n; i++) { if (minn >= sita[i] && sita[i] > 0) { minn = sita[i]; sita_xindex = i; } } //入基出基变换,先入基再出基 //入基操作 for (int i = 1; i <= n; i++) { if (i == sita_xindex) { XB[i] = sigema_xindex; cB[i] = sigema_xcoefficient; break; } } //出基计算 //化1 //cout << endl << "此处为化1的结果------" << endl; float mul1 = matrix[sita_xindex][sigema_xindex]; for (int i = 1; i <= m; i++) { matrix[sita_xindex][i] /= mul1; } b[sita_xindex] /= mul1; //化0 //cout << endl << "此处为化0的结果------" << endl; for (int i = 1; i <= n; i++) { if (i == sita_xindex) { continue; } float mul2 = matrix[i][sigema_xindex] / matrix[sita_xindex][sigema_xindex]; for (int j = 1; j <= m; j++) { matrix[i][j] -= (matrix[sita_xindex][j] * mul2); } b[i] -= (b[sita_xindex] * mul2); } for (int i = 1; i <= n; i++) { if (i == sita_xindex) { continue; } } for (int i = 1; i <= m; i++) { sigema[i] = cj[i]; for (int j = 1; j <= n; j++) { sigema[i] -= cB[j] * matrix[j][i]; } } } float MaxZ = 0; float *result = new float[m + 1]; for (int i = 0; i <= m; i++) { result[i] = 0; } for (int i = 1; i <= n; i++) { result[XB[i]] = b[i]; } cout << "最优解为:X = ("; for (int i = 1; i < m; i++) { cout << result[i] << ","; } cout << result[m] << ")" << endl; for (int i = 1; i <= m; i++) { MaxZ += result[i] * cj[i]; } cout << "最优值为:MzxZ = " << MaxZ; return 0; }
程序运行结果:
总结
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