make abstract steps of simplex evaluation before elimination process

This commit is contained in:
emil28092005
2024-09-21 20:22:36 +03:00
parent c7edcf8232
commit 3cba9318ef
3 changed files with 58 additions and 17 deletions
+25 -1
View File
@@ -13,7 +13,29 @@ struct Result {
double objective_fucntion_value;
};
Result Simplex(ColumnVector C, Matrix A, ColumnVector b, double eps = 0.01, bool maximize) {
Result Simplex(ColumnVector C, Matrix A, ColumnVector b, double eps = 0.01, bool maximize=true) {
std::cout << "C: " << C << std::endl;
std::cout << "A: " << A << std::endl;
std::cout << "b: " << b << std::endl;
int n = C.getRows();
int m = A.getColumns();
ColumnVector ratio_vector(m);
int pivot_column_index = 0;
pivot_column_index = max(C);
for (int i = 0; i < m; i++) {
ratio_vector[i] = b[i] / A[i][pivot_column_index];
}
int pivot_row_index = min(ratio_vector);
eleminate(A, C, b, pivot_column_index, pivot_row_index);
/*
Result result;
std::vector<int> basicVars(A.getColumns() - A.getRows());
basicVars[0] = -1;
@@ -43,7 +65,9 @@ Result Simplex(ColumnVector C, Matrix A, ColumnVector b, double eps = 0.01, bool
}
}
result.objective_fucntion_value = b[0];
}
*/
}
/*