Move general matrix to simplex and fix bugs
This commit is contained in:
Vendored
+48
@@ -0,0 +1,48 @@
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{
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"files.associations": {
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"array": "cpp",
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"atomic": "cpp",
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"bit": "cpp",
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"*.tcc": "cpp",
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"cctype": "cpp",
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"clocale": "cpp",
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"cmath": "cpp",
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"compare": "cpp",
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"concepts": "cpp",
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"cstdarg": "cpp",
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"cstddef": "cpp",
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"cstdint": "cpp",
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"cstdio": "cpp",
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"cstdlib": "cpp",
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"cwchar": "cpp",
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"cwctype": "cpp",
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"deque": "cpp",
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"string": "cpp",
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"unordered_map": "cpp",
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"vector": "cpp",
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"exception": "cpp",
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"algorithm": "cpp",
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"functional": "cpp",
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"iterator": "cpp",
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"memory": "cpp",
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"memory_resource": "cpp",
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"numeric": "cpp",
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"random": "cpp",
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"string_view": "cpp",
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"system_error": "cpp",
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"tuple": "cpp",
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"type_traits": "cpp",
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"utility": "cpp",
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"initializer_list": "cpp",
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"iosfwd": "cpp",
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"iostream": "cpp",
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"istream": "cpp",
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"limits": "cpp",
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"new": "cpp",
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"numbers": "cpp",
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"ostream": "cpp",
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"stdexcept": "cpp",
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"streambuf": "cpp",
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"typeinfo": "cpp"
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}
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}
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@@ -4,7 +4,8 @@
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#include "simplex.h"
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int main() {
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Vector C = {5, 4, 0, 0};
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// TODO: Initially should be positive
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Vector C = {-5, -4, 0, 0, 0, 0};
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Matrix A = {{6, 4, 1, 0, 0, 0}, {1, 2, 0, 1, 0, 0}, {-1, 1, 0, 0, 1, 0}, {0, 1, 0, 0, 0, 1}};
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Vector b = {24, 6, 1, 2};
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@@ -12,11 +13,12 @@ int main() {
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if(result.state == bounded) {
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if(result.solution == nullptr) {
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std::cout << "HUYN: Khong tim duoc nghiem" << std::endl;
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// TODO: error
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}
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std::cout << *result.solution << std::endl;
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std::cout << result.objective_fucntion_value << std::endl;
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delete result.solution;
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}
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return 0;
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+23
-19
@@ -16,32 +16,35 @@ struct Result {
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};
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Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize=true) {
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int m = A.getRows();
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Result result{};
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std::vector<int> basicVars(A.getColumns() - A.getRows());
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Matrix generalMatrix = createGeneralMatrix(A, C, b);
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std::vector<int> basicVars(generalMatrix.getRows());
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basicVars[0] = -1;
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for (int i = 1; i < basicVars.size(); i++) {
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for (size_t i = 1; i < basicVars.size(); i++) {
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basicVars[i] = static_cast<int>(basicVars.size()) + i;
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}
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while (true) {
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//3
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int pivot_column_index = 0;
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pivot_column_index = max_index(C);
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pivot_column_index = min_index(generalMatrix[0]);
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if (A[0][pivot_column_index] >= 0) {
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if (generalMatrix[0][pivot_column_index] >= 0) {
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DestroyMatrix destroyedGeneralMatrix = destroyGeneralMatrix(generalMatrix);
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Matrix _A = destroyedGeneralMatrix.A;
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Vector _C = destroyedGeneralMatrix.C;
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Vector _b = destroyedGeneralMatrix.b;
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result.state = bounded;
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result.solution = new Vector(C.size());
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for (int i = 0; i < C.size(); i++) {
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result.solution->operator[](i) = 0;
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}
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for (int i = 1; i < basicVars.size(); i++) {
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for (size_t i = 1; i < basicVars.size(); i++) {
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if (basicVars[i] <= C.size()) {
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(*result.solution)[basicVars[i]] = b.size() - 1;
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result.solution->operator[](basicVars[i]) = _b[i];
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}
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}
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result.objective_function_value = b[0];
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@@ -49,21 +52,22 @@ Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize=tr
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}
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//4
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Vector ratio_vector(m);
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for (int i = 0; i < m; i++) {
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ratio_vector[i] = b[i] / A[i][pivot_column_index];
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Vector ratio_vector(generalMatrix.getRows());
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for (int i = 1; i < generalMatrix.getRows(); i++) {
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if (generalMatrix[i][pivot_column_index] != 0) {
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ratio_vector[i] = generalMatrix[i][generalMatrix.getColumns() - 1] / generalMatrix[i][pivot_column_index];
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} else {
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ratio_vector[i] = 0;
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}
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}
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int pivot_row_index = min_index(ratio_vector);
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ratio_vector[0] = 0;
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int pivot_row_index = min_index_positive(ratio_vector);
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basicVars[pivot_row_index] = pivot_column_index;
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//5
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FracturedMatrix fractured_matrix(elimination(A, C, b, pivot_column_index, pivot_row_index));
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A = fractured_matrix.A;
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C = fractured_matrix.C;
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b = fractured_matrix.b;
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pivot_column_index = fractured_matrix.pivot_column_index;
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pivot_row_index = fractured_matrix.pivot_row_index;
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elimination(generalMatrix, pivot_row_index, pivot_column_index);
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}
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return result;
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+4
-24
@@ -43,8 +43,9 @@ Matrix createGeneralMatrix(Matrix& A, Vector& C, Vector& b) {
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generalMatrix[0][i] = C[i];
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}
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for (int j = 0; j < A.getRows(); j++) {
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generalMatrix[j][A.getColumns()] = b[j];
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// For objective function (j=0) the value is set to zero automatically
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for (int j = 1; j < A.getRows() + 1; j++) {
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generalMatrix[j][A.getColumns()] = b[j-1];
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}
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for (int i = 0; i < A.getRows(); i++) {
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@@ -56,8 +57,7 @@ Matrix createGeneralMatrix(Matrix& A, Vector& C, Vector& b) {
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return generalMatrix;
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}
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FracturedMatrix elimination(Matrix A, Vector C, Vector b, int pivot_column_index, int pivot_row_index) {
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Matrix generalMatrix = createGeneralMatrix(A, C, b);
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void elimination(Matrix& generalMatrix, int pivot_row_index, int pivot_column_index) {
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int rows = generalMatrix.getRows();
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int cols = generalMatrix.getColumns();
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@@ -78,25 +78,5 @@ FracturedMatrix elimination(Matrix A, Vector C, Vector b, int pivot_column_index
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generalMatrix[i][j] -= pivotColumnCoefficient * generalMatrix[pivot_row_index][j];
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}
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}
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DestroyMatrix destroyedMatrix = destroyGeneralMatrix(generalMatrix);
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pivot_column_index = max_index(destroyedMatrix.C);
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Vector ratio_vector(A.getRows());
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for (int i = 0; i < A.getRows(); i++) {
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if (A[i][pivot_column_index] != 0) {
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ratio_vector[i] = b[i] / A[i][pivot_column_index];
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}
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else {
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ratio_vector[i] = 0;
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}
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}
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pivot_row_index = min_index(ratio_vector);
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return {A, C, b, pivot_column_index, pivot_row_index};
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}
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+1
-1
@@ -23,7 +23,7 @@ struct DestroyMatrix {
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};
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DestroyMatrix destroyGeneralMatrix(Matrix& generalMatrix);
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FracturedMatrix elimination(Matrix A, Vector C, Vector b, int pivot_column_index, int pivot_row_index);
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void elimination(Matrix&, int pivot_row_index, int pivot_column_index);
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Matrix createGeneralMatrix(Matrix& A, Vector& C, Vector& b);
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@@ -20,6 +20,26 @@ double max(Vector vector) {
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return temp;
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}
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int min_index_positive(Vector vector) {
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int i = 0;
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while (i < vector.size() && vector[i] <= 0) {
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++i;
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}
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if (i >= vector.size()) {
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throw std::runtime_error("No positive min found");
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}
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int temp_index = i;
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double temp = vector[i];
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for (int j = i + 1; j < vector.size(); j++) {
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if (vector[j] < temp && vector[j] > 0) {
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temp_index = j;
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temp = vector[j];
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}
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}
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return temp_index;
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}
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int min_index(Vector vector) {
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int temp_index = 0;
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double temp = vector[0];
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@@ -7,6 +7,7 @@
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double min(Vector vector);
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double max(Vector vector);
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int min_index(Vector vector);
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int min_index_positive(Vector vector);
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int max_index(Vector vector);
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double min(std::vector<double> array);
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double max(std::vector<double> array);
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