Revert "Deleted manual input function"

This reverts commit fa123e0fb0.
This commit is contained in:
Ilya Grigorev
2024-10-07 21:06:00 +05:00
parent 9b67db3629
commit 262894d00d
13 changed files with 1017 additions and 1 deletions
+34
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*.vscode
# Prerequisites
*.d
CMakeLists.txt
.idea
# Compiled Object files
*.slo
*.lo
*.o
*.obj
# Precompiled Headers
*.gch
*.pch
# Compiled Dynamic libraries
*.so
*.dylib
*.dll
# Fortran module files
*.mod
*.smod
# Compiled Static libraries
*.lai
*.la
*.a
*.lib
# Executables
*.exe
*.out
*.app
+9
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{
"makefile.launchConfigurations": [
{
"cwd": "/home/emil/Coding/Assignments/SimplexTASK",
"binaryPath": "/home/emil/Coding/Assignments/SimplexTASK/simplex.out",
"binaryArgs": []
}
]
}
+35
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GXX := g++ -std=c++20
flags := -Wall -fsanitize=address
TOOLS := tools
BUILD := build
build:
mkdir $(BUILD)
$(GXX) -c $(flags) $(TOOLS)/elimination.cpp -o $(BUILD)/elimination.obj
$(GXX) -c $(flags) $(TOOLS)/math.cpp -o $(BUILD)/math.obj
$(GXX) -c $(flags) $(TOOLS)/matrix.cpp -o $(BUILD)/matrix.obj
$(GXX) -c $(flags) simplex.cpp -o $(BUILD)/simplex.obj
$(GXX) -c $(flags) main.cpp -o $(BUILD)/main.obj
$(GXX) $(BUILD)/*.obj $(flags) -o simplex.out
$(BUILD)/elimination.obj: $(TOOLS)/elimination.cpp
$(GXX) -c $(flags) $(TOOLS)/elimination.cpp -o $(BUILD)/elimination.obj
$(BUILD)/math.obj: $(TOOLS)/math.cpp
$(GXX) -c $(flags) $(TOOLS)/math.cpp -o $(BUILD)/math.obj
$(BUILD)/matrix.obj: $(TOOLS)/matrix.cpp
$(GXX) -c $(flags) $(TOOLS)/matrix.cpp -o $(BUILD)/matrix.obj
$(BUILD)/simplex.obj: simplex.cpp
$(GXX) -c $(flags) simplex.cpp -o $(BUILD)/simplex.obj
$(BUILD)/main.obj: main.cpp
$(GXX) -c $(flags) main.cpp -o $(BUILD)/main.obj
$(BUILD)/simplex.out: $(BUILD)/elimination.obj $(BUILD)/math.obj $(BUILD)/matrix.obj $(BUILD)/simplex.obj $(BUILD)/main.obj
$(GXX) $(BUILD)/*.obj $(flags) -o simplex.out
clean:
rm -rf $(BUILD)
Submodule SimplexTASK deleted from c7bc142081
+72
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#include <iostream>
#include "tools/matrix.h"
#include "tools/math.h"
#include "simplex.h"
void manualInput() {
int ZLength;
std::cout << "Write how many x's the objective function has:" << std::endl;
std::cin >> ZLength;
Vector Z = {};
}
void printInitialInputs(Vector C, Matrix A, Vector b) {
}
int main() {
// TODO: Initially should be positive
std::string doManual = "";
std::cout << "Enable manual input? (y/n)" << std::endl;
std::cin >> doManual ;
if (doManual == "y" or doManual == "Y") {
manualInput();
} else if (doManual == "n"){
}
Vector C = {5, 4, 0, 0, 0, 0};
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}
};
Vector b = {24, 6, 1, 2};
for (int i = 0; i < b.size(); i++) {
if (b[i] < 0) {
std::cout << "Error: method is not applicable" << std::endl;
return 1;
}
}
//Matrix test = {{1, -1, -2}, {1, 1, -2}, {1, -1, 2}};
//showMatrix(test);
Result result = Simplex(C, A, b, 0.1, true);
if(result.state == bounded) {
if(result.solution == nullptr) {
std::cout << "Error: no solution value is returned" << std::endl;
return 1;
}
std::cout << *result.solution << std::endl;
std::cout << result.objective_fucntion_value << std::endl;
delete result.solution;
}
else {
std::cout << "Error: unbounded" << std::endl;
return 1;
}
//std::cout << "asdasd" << std::endl;
return 0;
}
+229
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#include <algorithm>
#include <iostream>
#include "tools/matrix.h"
#include "tools/math.h"
#include "tools/elimination.h"
enum solver_state {
unbounded,
bounded
};
struct Result {
solver_state state;
Vector *solution;
double objective_function_value;
};
Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize=true) {
if (maximize == true) {
for (int i = 0; i < C.size(); i++) {
C[i] = -C[i];
}
}
Result result{};
Matrix generalMatrix = createGeneralMatrix(A, C, b);
std::cout << "Before:" << std::endl;
showMatrix(generalMatrix);
std::vector<int> basicVars(generalMatrix.getRows());
basicVars[0] = -1;
for (size_t i = 1; i < basicVars.size(); i++) {
basicVars[i] = static_cast<int>(basicVars.size()) + i;
}
int iterationCount = 0;
while (true) {
//3
iterationCount++;
std::cout << "Iteration: ";
std::cout << iterationCount << std::endl;
int pivot_column_index = 0;
if (maximize) {
pivot_column_index = min_index(generalMatrix[0]);
if (generalMatrix[0][pivot_column_index] >= 0) {
DestroyMatrix destroyedGeneralMatrix = disassembleGeneralMatrix(generalMatrix);
Matrix _A = destroyedGeneralMatrix.A;
Vector _C = destroyedGeneralMatrix.C;
Vector _b = destroyedGeneralMatrix.b;
result.state = bounded;
result.solution = new Vector(C.size());
for (int i = 0; i < C.size(); i++) {
result.solution->operator[](i) = 0;
}
for (size_t i = 1; i < basicVars.size(); i++) {
if (basicVars[i] <= C.size()) {
result.solution->operator[](basicVars[i]) = _b[i];
}
}
result.objective_function_value = _C[_C.size()];
return result;
}
}
if (maximize == false) {
pivot_column_index = max_index(generalMatrix[0]);
if (generalMatrix[0][pivot_column_index] < 0) {
DestroyMatrix destroyedGeneralMatrix = disassembleGeneralMatrix(generalMatrix);
Matrix _A = destroyedGeneralMatrix.A;
Vector _C = destroyedGeneralMatrix.C;
Vector _b = destroyedGeneralMatrix.b;
result.state = bounded;
result.solution = new Vector(C.size());
for (int i = 0; i < C.size(); i++) {
result.solution->operator[](i) = 0;
}
for (size_t i = 1; i < basicVars.size(); i++) {
if (basicVars[i] <= C.size()) {
result.solution->operator[](basicVars[i]) = _b[i];
}
}
result.objective_function_value = _C[_C.size()];
return result;
}
}
//4
Vector ratio_vector(generalMatrix.getRows());
for (int i = 1; i < generalMatrix.getRows(); i++) {
if (generalMatrix[i][pivot_column_index] != 0) {
ratio_vector[i] = generalMatrix[i][generalMatrix.getColumns() - 1] / generalMatrix[i][pivot_column_index];
} else {
ratio_vector[i] = 0;
}
}
ratio_vector[0] = 0;
int pivot_row_index = min_index_positive(ratio_vector);
basicVars[pivot_row_index] = pivot_column_index;
//5
elimination(generalMatrix, pivot_row_index, pivot_column_index);
std::cout << "After:" << std::endl;
showMatrix(generalMatrix);
if (maximize) {
bool thereIsNegative = false;
for (int j = 0; j < generalMatrix.getColumns()-1; ++j) {
if (generalMatrix[0][j] < 0) {
thereIsNegative = true;
}
}
if (thereIsNegative) {
for (int j = 0; j < generalMatrix.getColumns()-1; ++j) {
if (generalMatrix[0][j] > 0) {
if (generalMatrix[0][j] < (eps * (-1))) {
showMatrix(generalMatrix);
std::cout << generalMatrix[0][j] << std::endl;
return result;
}
}
}
}
}
if (maximize == false) {
bool thereIsPositive = false;
for (int j = 0; j < generalMatrix.getColumns()-1; ++j) {
if (generalMatrix[0][j] > 0) {
thereIsPositive = true;
}
}
if (thereIsPositive) {
for (int j = 0; j < generalMatrix.getColumns()-1; ++j) {
if (generalMatrix[0][j] > 0) {
if (generalMatrix[0][j] < eps) {
showMatrix(generalMatrix);
std::cout << generalMatrix[0][j] << std::endl;
return result;
}
}
}
}
}
}
return result;
/*
Result result;
std::vector<int> basicVars(A.getColumns() - A.getRows());
basicVars[0] = -1;
for (int i = 1; i < basicVars.size(); i++) {
basicVars[i] = static_cast<int>(basicVars.size()) + i;
}
int kc = 0;
double temp = A[0][0];
for (int j = 0; j< A.getColumns(); j++) {
if (A[0][j] < temp) {
temp = A[0][j];
kc = j;
}
}
if (A[0][kc] >= 0) {
result.state = unbounded;
result.solution = new Vector(C.getRows());
for (int i = 0; i < C.getRows(); i++) {
result.solution->operator[](i) = 0;
}
for (int i = 1; i < basicVars.size(); i++) {
if (basicVars[i] <= C.getRows()) {
(*result.solution)[basicVars[i]] = b.getRows() - 1;
}
}
result.objective_fucntion_value = b[0];
}
*/
}
/*
Function_name(C, A, b, eps = eps_default)
Input:
- C: A vector of coefficients of the objective function
- A: A matrix of coefficients of the constraint functions
- b: A vector of right-hand side values
- eps: Approximation accuracy (optional, default = eps_default)
Steps:
1. Print the optimization problem:
- max (or min) z = C[0] * x1 + C[1] * x2 + ... + C[n] * xn
- subject to the constraints:
- A[0] * x <= b[0]
- A[1] * x <= b[1]
- ...
- A[m] * x <= b[m]
2. Initialize:
- Form the initial tableau by introducing slack variables to convert inequalities into equalities.
3. Iteratively apply the Simplex method:
- Step 1: Identify the entering variable (most negative coefficient in the objective row).
- Step 2: Identify the leaving variable (smallest positive ratio of RHS to pivot column).
- Step 3: Perform pivot operations to update the tableau.
4. Check for optimality or unboundedness:
- If all coefficients in the objective function row are non-negative, the solution is optimal.
- If no leaving variable exists, the problem is unbounded.
5. Return:
- solver_state: {solved, unbounded}
- x*: Optimal vector of decision variables (if solved)
- z: Maximum (or minimum) value of the objective function (if solved)
End Function
*/
+20
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#ifndef SIMPLEX_H
#define SIMPLEX_H
#include <vector>
#include "tools/matrix.h"
enum solver_state {
unbounded,
bounded
};
struct Result {
solver_state state;
Vector *solution;
double objective_fucntion_value;
};
Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize = true);
#endif // SIMPLEX_H
+82
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#include "elimination.h"
#include "math.h"
FracturedMatrix::FracturedMatrix(const FracturedMatrix& other) : A(other.A), C(other.C), b(other.b), pivot_column_index(other.pivot_column_index), pivot_row_index(other.pivot_row_index) {}
FracturedMatrix::FracturedMatrix(Matrix A, Vector C, Vector b, int pivot_column_index, int pivot_row_index) : A(A), C(C), b(b), pivot_column_index(pivot_column_index), pivot_row_index(pivot_row_index) {}
FracturedMatrix& FracturedMatrix::operator=(const FracturedMatrix& other) {
A = other.A;
C = other.C;
b = other.b;
pivot_column_index = other.pivot_column_index;
pivot_row_index = other.pivot_row_index;
return *this;
}
DestroyMatrix disassembleGeneralMatrix(Matrix& generalMatrix) {
int rows = generalMatrix.getRows();
int cols = generalMatrix.getColumns();
Matrix A(rows - 1, cols - 1);
Vector C(cols - 1);
Vector b(rows - 1);
for (int j = 0; j < cols - 1; ++j) {
C[j] = generalMatrix[0][j];
}
for (int i = 1; i < rows; ++i) {
b[i - 1] = generalMatrix[i - 1][cols - 1];
}
for (int i = 1; i < rows; ++i) {
for (int j = 0; j < cols - 1; ++j) {
A[i - 1][j] = generalMatrix[i][j];
}
}
return {A, C, b};
}
Matrix createGeneralMatrix(Matrix& A, Vector& C, Vector& b) {
Matrix generalMatrix(A.getRows() + 1, A.getColumns() + 1);
for (int i = 0; i < A.getColumns(); i++) {
generalMatrix[0][i] = C[i];
}
// For objective function (j=0) the value is set to zero automatically
for (int j = 1; j < A.getRows() + 1; j++) {
generalMatrix[j][A.getColumns()] = b[j-1];
}
for (int i = 0; i < A.getRows(); i++) {
for (int j = 0; j < A.getColumns(); j++) {
generalMatrix[i + 1][j] = A[i][j];
}
}
return generalMatrix;
}
void elimination(Matrix& generalMatrix, int pivot_row_index, int pivot_column_index) {
int rows = generalMatrix.getRows();
int cols = generalMatrix.getColumns();
double pivotElement = generalMatrix[pivot_row_index][pivot_column_index];
for (int j = 0; j < cols; ++j) {
generalMatrix[pivot_row_index][j] /= pivotElement;
}
for (int i = 0; i < rows; ++i) {
if (i == pivot_row_index)
continue;
double pivotColumnCoefficient = generalMatrix[i][pivot_column_index];
for (int j = 0; j < cols; ++j) {
generalMatrix[i][j] -= pivotColumnCoefficient * generalMatrix[pivot_row_index][j];
}
}
}
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#ifndef ELIMINATION_H
#define ELIMINATION_H
#include "matrix.h"
struct FracturedMatrix {
Matrix A;
Vector C;
Vector b;
int pivot_column_index;
int pivot_row_index;
FracturedMatrix() = default;
FracturedMatrix(const FracturedMatrix& other);
FracturedMatrix(Matrix A, Vector C, Vector b, int pivot_column_index, int pivot_row_index);
FracturedMatrix& operator=(const FracturedMatrix& other);
};
struct DestroyMatrix {
Matrix A;
Vector C;
Vector b;
};
DestroyMatrix disassembleGeneralMatrix(Matrix& generalMatrix);
void elimination(Matrix&, int pivot_row_index, int pivot_column_index);
Matrix createGeneralMatrix(Matrix& A, Vector& C, Vector& b);
#endif //ELIMINATION_H
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#include "math.h"
double min(Vector vector) {
double temp = vector[0];
for (int j = 0; j < vector.size(); j++) {
if (vector[j] < temp) {
temp = vector[j];
}
}
return temp;
}
double max(Vector vector) {
double temp = vector[0];
for (int j = 0; j < vector.size(); j++) {
if (vector[j] > temp) {
temp = vector[j];
}
}
return temp;
}
int min_index_positive(Vector vector) {
int i = 0;
while (i < vector.size() && vector[i] <= 0) {
++i;
}
if (i >= vector.size()) {
throw std::runtime_error("No positive min found");
}
int temp_index = i;
double temp = vector[i];
for (int j = i + 1; j < vector.size(); j++) {
if (vector[j] < temp && vector[j] > 0) {
temp_index = j;
temp = vector[j];
}
}
return temp_index;
}
int min_index(Vector vector) {
int temp_index = 0;
double temp = vector[0];
for (int j = 0; j < vector.size(); j++) {
if (vector[j] < temp) {
temp_index = j;
temp = vector[j];
}
}
return temp_index;
}
int max_index(Vector vector) {
int temp_index = 0;
double temp = vector[0];
for (int j = 0; j < vector.size(); j++) {
if (vector[j] > temp) {
temp_index = j;
temp = vector[j];
}
}
return temp_index;
}
double min(std::vector<double> array) {
double temp = array[0];
for (size_t i = 1; i < array.size(); i++) {
if (array[i] < temp) {
temp = array[i];
}
}
return temp;
}
double max(std::vector<double> array) {
double temp = array[0];
for (size_t i = 1; i < array.size(); i++) {
if (array[i] > temp) {
temp = array[i];
}
}
return temp;
}
int min_index(std::vector<double> array) {
int temp_index = 0;
double temp = array[0];
for (size_t i = 1; i < array.size(); i++) {
if (array[i] < temp) {
temp_index = i;
temp = array[i];
}
}
return temp_index;
}
int max_index(std::vector<double> array) {
int temp_index = 0;
double temp = array[0];
for (size_t i = 1; i < array.size(); i++) {
if (array[i] > temp) {
temp_index = i;
temp = array[i];
}
}
return temp_index;
}
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#ifndef MATH_H
#define MATH_H
#include <vector>
#include "matrix.h"
double min(Vector vector);
double max(Vector vector);
int min_index(Vector vector);
int min_index_positive(Vector vector);
int max_index(Vector vector);
double min(std::vector<double> array);
double max(std::vector<double> array);
int min_index(std::vector<double> array);
int max_index(std::vector<double> array);
#endif // MATH_H
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#include "matrix.h"
void showMatrix(Matrix matrix) {
int maxNumberLength = 1;
for (size_t y = 0; y < matrix.getRows(); y++) {
for (size_t x = 0; x < matrix.getColumns(); x++) {
if (std::to_string(matrix[y][x]).length() > maxNumberLength) {
maxNumberLength = std::to_string(matrix[y][x]).length();
}
}
}
//std::cout << maxNumberLength << std::endl;
std::cout << std::endl;
for (size_t y = 0; y < matrix.getRows(); y++) {
std::string row = "";
for (size_t x = 0; x < matrix.getColumns(); x++) {
std::string strNumber = std::to_string(matrix[y][x]);
bool spaceRight = true;
while (strNumber.length() < maxNumberLength) {
if (spaceRight) {
strNumber += " ";
}
else {
strNumber = " " + strNumber;
}
spaceRight = !spaceRight;
strNumber = "" + strNumber;
}
if (matrix[y][x] == 0) {
row += "[\033[0m" + strNumber + "\033[0m] ";
}
else if(matrix[y][x] > 0) {
row += "[\033[32m" + strNumber + "\033[0m] ";
}else {
row += "[\033[31m" + strNumber + "\033[0m] ";
}
}
std::cout << row << std::endl;
}
std::cout << std::endl;
}
Vector::Vector(int n) {
rows = n;
columns = 1;
vector.resize(n);
}
Vector::Vector(const Vector& other) {
rows = other.rows;
columns = other.columns;
vector = other.vector;
}
Vector::Vector(std::initializer_list<double> init) {
rows = init.size();
columns = 1;
vector = std::vector<double>(rows);
auto it = init.begin();
for (size_t i = 0; i < init.size(); ++i) {
vector[i] = *it++;
}
}
int Vector::size() const {
return rows;
}
double& Vector::operator[](int row) {
return vector[row];
}
Vector& Vector::operator=(const Vector& other) {
rows = other.rows;
columns = other.columns;
vector = other.vector;
return *this;
}
Vector Vector::operator+(Vector& other) {
if (rows != other.rows) {
throw std::runtime_error("Error: the dimensional problem occurred");
}
Vector result(rows);
for (int i = 0; i < rows; ++i) {
result[i] = vector[i] + other[i];
}
return result;
}
Vector Vector::operator-(Vector& other) {
if (rows != other.rows) {
throw std::runtime_error("Error: the dimensional problem occurred");
}
Vector result(rows);
for (int i = 0; i < rows; ++i) {
result[i] = vector[i] - other[i];
}
return result;
}
std::istream& operator>>(std::istream& cin, Vector& vectorObj) {
for (int i = 0; i < vectorObj.rows; ++i) {
cin >> vectorObj[i];
}
return cin;
}
std::ostream& operator<<(std::ostream& cout, Vector& vectorObj) {
for (int i = 0; i < vectorObj.rows; ++i) {
if (i == vectorObj.rows - 1) {
cout << vectorObj[i] << std::endl;
}
else {
cout << vectorObj[i] << ' ';
}
}
return cout;
}
Matrix::Matrix(int n, int m) {
rows = n;
columns = m;
matrix.resize(n, Vector(m));
for (auto& row : matrix) {
row = Vector(m);
}
}
Matrix::Matrix(const Matrix& other) {
rows = other.rows;
columns = other.columns;
matrix = other.matrix;
}
Matrix::Matrix(std::initializer_list<std::vector<double>> init) {
rows = init.size();
auto it = init.begin();
columns = it->size();
matrix = std::vector<Vector>(rows, Vector(columns));
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < columns; ++j) {
matrix[i][j] = it->operator[](j);
}
++it;
}
}
int Matrix::getRows() const {
return rows;
}
int Matrix::getColumns() const {
return columns;
}
Vector& Matrix::operator[](int row) {
return matrix[row];
}
Matrix& Matrix::operator=(const Matrix& other) {
rows = other.rows;
columns = other.columns;
matrix = other.matrix;
return *this;
}
Matrix Matrix::operator+(Matrix& other) const {
if (rows != other.rows || columns != other.columns) {
throw std::runtime_error("Error: the dimensional problem occurred");
}
Matrix result(rows, columns);
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < columns; ++j) {
auto x = matrix[i];
auto y = other[i];
result[i][j] = x[j] + y[j];
}
}
return result;
}
Matrix Matrix::operator-(Matrix& other) const {
if (rows != other.rows || columns != other.columns) {
throw std::runtime_error("Error: the dimensional problem occurred");
}
Matrix result(rows, columns);
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < columns; ++j) {
auto x = matrix[i];
auto y = other[i];
result[i][j] = x[j] - y[j];
}
}
return result;
}
Matrix Matrix::operator*(Matrix& other) const {
if (columns != other.rows) {
throw std::runtime_error("Error: the dimensional problem occurred");
}
Matrix result(rows, other.columns);
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < other.columns; ++j) {
result[i][j] = 0;
for (int k = 0; k < columns; ++k) {
auto x = matrix[i];
auto y = other[k];
result[i][j] += x[k] * y[j];
}
}
}
return result;
}
Vector Matrix::operator*(Vector other) const {
if (columns != other.size()) {
throw std::runtime_error("Error: the dimensional problem occurred");
}
Vector result(rows);
for (int i = 0; i < rows; ++i) {
result[i] = 0;
for (int k = 0; k < columns; ++k) {
auto x = matrix[i];
result[i] += x[k] * other[k];
}
}
return result;
}
Matrix Matrix::transpose() const {
Matrix result(columns, rows);
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < columns; ++j) {
auto x = matrix[i];
result[j][i] = x[j];
}
}
return result;
}
std::istream& operator>>(std::istream& cin, Matrix& matrixObj) {
for (int i = 0; i < matrixObj.rows; ++i) {
for (int j = 0; j < matrixObj.columns; ++j) {
cin >> matrixObj[i][j];
}
}
return cin;
}
std::ostream& operator<<(std::ostream& cout, Matrix& matrixObj) {
for (int i = 0; i < matrixObj.rows; ++i) {
for (int j = 0; j < matrixObj.columns; ++j) {
if (j == matrixObj.columns - 1) {
cout << matrixObj[i][j] << std::endl;
}
else {
cout << matrixObj[i][j] << ' ';
}
}
}
return cout;
}
+102
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#ifndef TOOLS_MATRIX_H
#define TOOLS_MATRIX_H
// some functions for matrix interaction
#include <iostream>
#include <vector>
/**
* Vector is a class to represent
* a column vector with n rows.
*/
class Vector {
protected:
// Number of rows in vector
int rows;
// Number of columns in vector
int columns;
// Matrix representation as vector of vectors of integers
std::vector<double> vector;
public:
Vector(int n);
Vector(const Vector& other);
Vector(std::initializer_list<double>);
/* Getter for the number of rows */
int size() const;
double& operator[](int row);
Vector& operator=(const Vector& other);
Vector operator+(Vector& other);
Vector operator-(Vector& other);
/* Input operator reads element of vector */
friend std::istream& operator>>(std::istream& cin, Vector& vectorObj);
/* Output operator prints elements of the vector
* in a row separated with a space (no space at the end of the line)
*/
friend std::ostream& operator<<(std::ostream& cout, Vector& vectorObj);
};
/**
* Class Matrix represents
* a matrix of size n x m
* of type integer.
*/
class Matrix {
protected:
// Number of rows in matrix
int rows;
// Number of columns in matrix
int columns;
// Matrix representation as vector of vectors of integers
std::vector<Vector> matrix;
public:
Matrix(int n, int m);
Matrix(const Matrix& other);
Matrix(std::initializer_list<std::vector<double>>);
/* Getter for the number of rows */
int getRows() const;
/* Getter for the number of columns */
int getColumns() const;
Vector& operator[](int row);
Matrix& operator=(const Matrix& other);
Matrix operator+(Matrix& other) const;
Matrix operator-(Matrix& other) const;
Matrix operator*(Matrix& other) const;
/* Matrix-Vector multiplication */
Vector operator*(Vector other) const;
/* Produces transposed version of the matrix */
Matrix transpose() const;
/* Input operator reads element of matrix row by row */
friend std::istream& operator>>(std::istream& cin, Matrix& matrixObj);
/* Output operator prints elements of the matrix
* row by row separated with a space (no space at the end of each line)
*/
friend std::ostream& operator<<(std::ostream& cout, Matrix& matrixObj);
};
void showMatrix(Matrix);
#endif // TOOLS_MATRIX_H