make x column
This commit is contained in:
+2
-1
@@ -1,6 +1,7 @@
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# Prerequisites
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# Prerequisites
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*.d
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*.d
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CMakeLists.txt
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.idea
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# Compiled Object files
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# Compiled Object files
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*.slo
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*.slo
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*.lo
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*.lo
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@@ -1,6 +1,18 @@
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#include <iostream>
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#include <iostream>
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#include "tools/matrix.h"
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int main() {
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int main() {
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std::cout << "Hello World!\n";
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int n, m;
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ColumnVector C(n);
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Matrix A(n, m);
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ColumnVector b(n);
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double eps;
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double eps_default;
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std::cin >> C;
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std::cin >> A;
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std::cin >> b;
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std::cin >> eps;
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return 0;
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return 0;
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}
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}
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+85
-1
@@ -1 +1,85 @@
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// implementation of simplex task
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#include <algorithm>
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#include <iostream>
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#include "tools/matrix.h"
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enum solver_state {
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unbounded,
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bounded
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};
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struct Result {
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solver_state state;
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ColumnVector *solution;
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double objective_fucntion_value;
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};
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Result Simplex(ColumnVector C, Matrix A, ColumnVector b, double eps = 0.01, bool maximize) {
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Result result;
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std::vector<int> basicVars(A.getColumns() - A.getRows());
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basicVars[0] = -1;
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for (int 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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int kc = 0;
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double temp = A[0][0];
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for (int j = 0; j< A.getColumns(); j++) {
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if (A[0][j] < temp) {
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temp = A[0][j];
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kc = j;
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}
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}
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if (A[0][kc] >= 0) {
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result.state = unbounded;
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result.solution = new ColumnVector(C.getRows());
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for (int i = 0; i < C.getRows(); 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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if (basicVars[i] <= C.getRows()) {
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(*result.solution)[basicVars[i]] = b.getRows() - 1;
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}
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}
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result.objective_fucntion_value = b[0];
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}
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}
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/*
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Function_name(C, A, b, eps = eps_default)
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Input:
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- C: A vector of coefficients of the objective function
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- A: A matrix of coefficients of the constraint functions
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- b: A vector of right-hand side values
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- eps: Approximation accuracy (optional, default = eps_default)
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Steps:
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1. Print the optimization problem:
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- max (or min) z = C[0] * x1 + C[1] * x2 + ... + C[n] * xn
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- subject to the constraints:
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- A[0] * x <= b[0]
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- A[1] * x <= b[1]
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- ...
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- A[m] * x <= b[m]
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2. Initialize:
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- Form the initial tableau by introducing slack variables to convert inequalities into equalities.
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3. Iteratively apply the Simplex method:
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- Step 1: Identify the entering variable (most negative coefficient in the objective row).
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- Step 2: Identify the leaving variable (smallest positive ratio of RHS to pivot column).
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- Step 3: Perform pivot operations to update the tableau.
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4. Check for optimality or unboundedness:
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- If all coefficients in the objective function row are non-negative, the solution is optimal.
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- If no leaving variable exists, the problem is unbounded.
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5. Return:
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- solver_state: {solved, unbounded}
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- x*: Optimal vector of decision variables (if solved)
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- z: Maximum (or minimum) value of the objective function (if solved)
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End Function
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*/
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+135
-135
@@ -1,213 +1,213 @@
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#include "matrix.h"
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#include "matrix.h"
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ColumnVector::ColumnVector(int n) {
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ColumnVector::ColumnVector(int n) {
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rows = n;
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rows = n;
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columns = 1;
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columns = 1;
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columnVector.resize(n);
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columnVector.resize(n);
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}
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}
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ColumnVector::ColumnVector(const ColumnVector& other) {
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ColumnVector::ColumnVector(const ColumnVector& other) {
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rows = other.rows;
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rows = other.rows;
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columns = other.columns;
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columns = other.columns;
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columnVector = other.columnVector;
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columnVector = other.columnVector;
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}
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}
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int ColumnVector::getRows() const {
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int ColumnVector::getRows() const {
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return rows;
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return rows;
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}
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}
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int ColumnVector::getColumns() const {
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int ColumnVector::getColumns() const {
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return columns;
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return columns;
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}
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}
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double& ColumnVector::operator[](int row) {
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double& ColumnVector::operator[](int row) {
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return columnVector[row];
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return columnVector[row];
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}
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}
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ColumnVector& ColumnVector::operator=(const ColumnVector& other) {
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ColumnVector& ColumnVector::operator=(const ColumnVector& other) {
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rows = other.rows;
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rows = other.rows;
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columns = other.columns;
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columns = other.columns;
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columnVector = other.columnVector;
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columnVector = other.columnVector;
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return *this;
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return *this;
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}
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}
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ColumnVector ColumnVector::operator+(ColumnVector& other) {
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ColumnVector ColumnVector::operator+(ColumnVector& other) {
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if (rows != other.rows) {
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if (rows != other.rows) {
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throw std::runtime_error("Error: the dimensional problem occurred");
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throw std::runtime_error("Error: the dimensional problem occurred");
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}
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}
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ColumnVector result(rows);
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ColumnVector result(rows);
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for (int i = 0; i < rows; ++i) {
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for (int i = 0; i < rows; ++i) {
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result[i] = columnVector[i] + other[i];
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result[i] = columnVector[i] + other[i];
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}
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}
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return result;
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return result;
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}
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}
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ColumnVector ColumnVector::operator-(ColumnVector& other) {
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ColumnVector ColumnVector::operator-(ColumnVector& other) {
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if (rows != other.rows) {
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if (rows != other.rows) {
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throw std::runtime_error("Error: the dimensional problem occurred");
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throw std::runtime_error("Error: the dimensional problem occurred");
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}
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}
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ColumnVector result(rows);
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ColumnVector result(rows);
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for (int i = 0; i < rows; ++i) {
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for (int i = 0; i < rows; ++i) {
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result[i] = columnVector[i] - other[i];
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result[i] = columnVector[i] - other[i];
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}
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}
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return result;
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return result;
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}
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}
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std::istream& operator>>(std::istream& cin, ColumnVector& vectorObj) {
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std::istream& operator>>(std::istream& cin, ColumnVector& vectorObj) {
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for (int i = 0; i < vectorObj.rows; ++i) {
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for (int i = 0; i < vectorObj.rows; ++i) {
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cin >> vectorObj[i];
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cin >> vectorObj[i];
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}
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}
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return cin;
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return cin;
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}
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}
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std::ostream& operator<<(std::ostream& cout, ColumnVector& vectorObj) {
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std::ostream& operator<<(std::ostream& cout, ColumnVector& vectorObj) {
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for (int i = 0; i < vectorObj.rows; ++i) {
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for (int i = 0; i < vectorObj.rows; ++i) {
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if (i == vectorObj.rows - 1) {
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if (i == vectorObj.rows - 1) {
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cout << vectorObj[i] << std::endl;
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cout << vectorObj[i] << std::endl;
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}
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}
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else {
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else {
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cout << vectorObj[i] << ' ';
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cout << vectorObj[i] << ' ';
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}
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}
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}
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}
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return cout;
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return cout;
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}
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}
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Matrix::Matrix(int n, int m) {
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Matrix::Matrix(int n, int m) {
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rows = n;
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rows = n;
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columns = m;
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columns = m;
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matrix.resize(n);
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matrix.resize(n);
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for (auto& row : matrix) {
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for (auto& row : matrix) {
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row = ColumnVector(m);
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row = ColumnVector(m);
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}
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}
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}
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}
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Matrix::Matrix(const Matrix& other) {
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Matrix::Matrix(const Matrix& other) {
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rows = other.rows;
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rows = other.rows;
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columns = other.columns;
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columns = other.columns;
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matrix = other.matrix;
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matrix = other.matrix;
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}
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}
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int Matrix::getRows() const {
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int Matrix::getRows() const {
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return rows;
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return rows;
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}
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}
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int Matrix::getColumns() const {
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int Matrix::getColumns() const {
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return columns;
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return columns;
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}
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}
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ColumnVector& Matrix::operator[](int row) {
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ColumnVector& Matrix::operator[](int row) {
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return matrix[row];
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return matrix[row];
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}
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}
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Matrix& Matrix::operator=(const Matrix& other) {
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Matrix& Matrix::operator=(const Matrix& other) {
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rows = other.rows;
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rows = other.rows;
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columns = other.columns;
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columns = other.columns;
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matrix = other.matrix;
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matrix = other.matrix;
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return *this;
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return *this;
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}
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}
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Matrix Matrix::operator+(Matrix& other) const {
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Matrix Matrix::operator+(Matrix& other) const {
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if (rows != other.rows || columns != other.columns) {
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if (rows != other.rows || columns != other.columns) {
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throw std::runtime_error("Error: the dimensional problem occurred");
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throw std::runtime_error("Error: the dimensional problem occurred");
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}
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}
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Matrix result(rows, columns);
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Matrix result(rows, columns);
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for (int i = 0; i < rows; ++i) {
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for (int i = 0; i < rows; ++i) {
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for (int j = 0; j < columns; ++j) {
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for (int j = 0; j < columns; ++j) {
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auto x = matrix[i];
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auto x = matrix[i];
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auto y = other[i];
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auto y = other[i];
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result[i][j] = x[j] + y[j];
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result[i][j] = x[j] + y[j];
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}
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}
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}
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}
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return result;
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return result;
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}
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}
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Matrix Matrix::operator-(Matrix& other) const {
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Matrix Matrix::operator-(Matrix& other) const {
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if (rows != other.rows || columns != other.columns) {
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if (rows != other.rows || columns != other.columns) {
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throw std::runtime_error("Error: the dimensional problem occurred");
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throw std::runtime_error("Error: the dimensional problem occurred");
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}
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}
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Matrix result(rows, columns);
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Matrix result(rows, columns);
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for (int i = 0; i < rows; ++i) {
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for (int i = 0; i < rows; ++i) {
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for (int j = 0; j < columns; ++j) {
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for (int j = 0; j < columns; ++j) {
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auto x = matrix[i];
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auto x = matrix[i];
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auto y = other[i];
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auto y = other[i];
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result[i][j] = x[j] - y[j];
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result[i][j] = x[j] - y[j];
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}
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}
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}
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}
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return result;
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return result;
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}
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}
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Matrix Matrix::operator*(Matrix& other) const {
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Matrix Matrix::operator*(Matrix& other) const {
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if (columns != other.rows) {
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if (columns != other.rows) {
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throw std::runtime_error("Error: the dimensional problem occurred");
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throw std::runtime_error("Error: the dimensional problem occurred");
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}
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}
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Matrix result(rows, other.columns);
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Matrix result(rows, other.columns);
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for (int i = 0; i < rows; ++i) {
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for (int i = 0; i < rows; ++i) {
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for (int j = 0; j < other.columns; ++j) {
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for (int j = 0; j < other.columns; ++j) {
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result[i][j] = 0;
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result[i][j] = 0;
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for (int k = 0; k < columns; ++k) {
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for (int k = 0; k < columns; ++k) {
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auto x = matrix[i];
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auto x = matrix[i];
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auto y = other[k];
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auto y = other[k];
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result[i][j] += x[k] * y[j];
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result[i][j] += x[k] * y[j];
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}
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}
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}
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}
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}
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}
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return result;
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return result;
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}
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}
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ColumnVector Matrix::operator*(ColumnVector other) const {
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ColumnVector Matrix::operator*(ColumnVector other) const {
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if (columns != other.getRows()) {
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if (columns != other.getRows()) {
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throw std::runtime_error("Error: the dimensional problem occurred");
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throw std::runtime_error("Error: the dimensional problem occurred");
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}
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}
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ColumnVector result(rows);
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ColumnVector result(rows);
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for (int i = 0; i < rows; ++i) {
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for (int i = 0; i < rows; ++i) {
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result[i] = 0;
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result[i] = 0;
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for (int k = 0; k < columns; ++k) {
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for (int k = 0; k < columns; ++k) {
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auto x = matrix[i];
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auto x = matrix[i];
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result[i] += x[k] * other[k];
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result[i] += x[k] * other[k];
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}
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}
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}
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}
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return result;
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return result;
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}
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}
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Matrix Matrix::transpose() const {
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Matrix Matrix::transpose() const {
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Matrix result(columns, rows);
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Matrix result(columns, rows);
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for (int i = 0; i < rows; ++i) {
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for (int i = 0; i < rows; ++i) {
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for (int j = 0; j < columns; ++j) {
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for (int j = 0; j < columns; ++j) {
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auto x = matrix[i];
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auto x = matrix[i];
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result[j][i] = x[j];
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result[j][i] = x[j];
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}
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}
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}
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}
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return result;
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return result;
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}
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}
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std::istream& operator>>(std::istream& cin, Matrix& matrixObj) {
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std::istream& operator>>(std::istream& cin, Matrix& matrixObj) {
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for (int i = 0; i < matrixObj.rows; ++i) {
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for (int i = 0; i < matrixObj.rows; ++i) {
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for (int j = 0; j < matrixObj.columns; ++j) {
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for (int j = 0; j < matrixObj.columns; ++j) {
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cin >> matrixObj[i][j];
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cin >> matrixObj[i][j];
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}
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}
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}
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}
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return cin;
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return cin;
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}
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}
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std::ostream& operator<<(std::ostream& cout, Matrix& matrixObj) {
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std::ostream& operator<<(std::ostream& cout, Matrix& matrixObj) {
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for (int i = 0; i < matrixObj.rows; ++i) {
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for (int i = 0; i < matrixObj.rows; ++i) {
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for (int j = 0; j < matrixObj.columns; ++j) {
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for (int j = 0; j < matrixObj.columns; ++j) {
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if (j == matrixObj.columns - 1) {
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if (j == matrixObj.columns - 1) {
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cout << matrixObj[i][j] << std::endl;
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cout << matrixObj[i][j] << std::endl;
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}
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}
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else {
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else {
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cout << matrixObj[i][j] << ' ';
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cout << matrixObj[i][j] << ' ';
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}
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}
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}
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}
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}
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}
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return cout;
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return cout;
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}
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}
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Block a user