add test coverage and fix input
This commit is contained in:
Vendored
-9
@@ -1,9 +0,0 @@
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{
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"makefile.launchConfigurations": [
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{
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"cwd": "/home/emil/Coding/Assignments/SimplexTASK",
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"binaryPath": "/home/emil/Coding/Assignments/SimplexTASK/simplex.out",
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"binaryArgs": []
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}
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]
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}
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@@ -4,7 +4,7 @@ TOOLS := tools
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BUILD := build
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build:
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mkdir $(BUILD)
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mkdir -p $(BUILD)
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$(GXX) -c $(flags) $(TOOLS)/elimination.cpp -o $(BUILD)/elimination.obj
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$(GXX) -c $(flags) $(TOOLS)/math.cpp -o $(BUILD)/math.obj
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$(GXX) -c $(flags) $(TOOLS)/matrix.cpp -o $(BUILD)/matrix.obj
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@@ -28,8 +28,11 @@ $(BUILD)/simplex.obj: simplex.cpp
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$(BUILD)/main.obj: main.cpp
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$(GXX) -c $(flags) main.cpp -o $(BUILD)/main.obj
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$(BUILD)/simplex.out: $(BUILD)/elimination.obj $(BUILD)/math.obj $(BUILD)/matrix.obj $(BUILD)/simplex.obj $(BUILD)/main.obj
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simplex.out: $(BUILD)/elimination.obj $(BUILD)/math.obj $(BUILD)/matrix.obj $(BUILD)/simplex.obj $(BUILD)/main.obj
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$(GXX) $(BUILD)/*.obj $(flags) -o simplex.out
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test: simplex.out
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./simplex.out
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clean:
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rm -rf $(BUILD)
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@@ -1,57 +1,243 @@
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#include <iostream>
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#include <functional>
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#include "tools/matrix.h"
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#include "tools/math.h"
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#include "simplex.h"
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bool check_eq(double a, double b,
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double relativeEpsilon = 0.0001) {
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double diff = std::abs(a - b);
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a = std::abs(a);
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b = std::abs(b);
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double largest = (b > a) ? b : a;
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void printInitialInputs(Vector C, Matrix A, Vector b) {
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return diff <= largest * relativeEpsilon;
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}
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int main() {
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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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int TEST_GENERAL_CASE() {
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std::cout << "----------------------------RUNNING_TEST_GENERAL_CASE----------------------------" << std::endl;
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Vector C = {5, 4};
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Matrix A = {
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{6, 4, 1, 0, 0, 0},
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{1, 2, 0, 1, 0, 0},
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{-1, 1, 0, 0, 1, 0},
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{0, 1, 0, 0, 0, 1}
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};
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{6, 4},
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{1, 2},
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{-1, 1},
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{0, 1}
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};
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Vector b = {24, 6, 1, 2};
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for (int i = 0; i < b.size(); i++) {
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if (b[i] < 0) {
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std::cout << "Error: method is not applicable" << std::endl;
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return 1;
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auto result = simplex(C, A, b);
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if (!(result.state == bounded)) {
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std::string state_name;
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switch (result.state) {
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case unsolvable:
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state_name = "unsolvable";
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break;
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case unbounded:
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state_name = "unbounded";
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break;
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default:
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state_name = "bounded";
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break;
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}
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std::cout << "Incorrect state type. Expected bounded. Got " << state_name << std::endl;
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return 0;
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}
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//Matrix test = {{1, -1, -2}, {1, 1, -2}, {1, -1, 2}};
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if (!check_eq(result.objective_function_value, 21)) {
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std::cout << "Incorrect objective function value. Expected 21. Got "
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<< result.objective_function_value << std::endl;
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return 0;
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}
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//showMatrix(test);
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if (!( check_eq(result.solution[0],3) && check_eq(result.solution[1], 1.5) )) {
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std::cout << "Incorrect desire variables. Expected 3 and 1.5. Got "
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<< result.solution;
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return 0;
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}
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Result result = Simplex(C, A, b, 0.1, true);
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return 1;
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}
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int TEST_MINIMIZE_CASE() {
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std::cout << "----------------------------RUNNING_TEST_MINIMIZE_CASE----------------------------" << std::endl;
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Vector C = {-2, 2, -6};
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Matrix A = {
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{2, 1, -2},
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{1, 2, 4},
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{1, -1, 2}
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};
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Vector b = {24, 23, 10};
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if(result.state == bounded) {
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if(result.solution == nullptr) {
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std::cout << "Error: no solution value is returned" << std::endl;
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return 1;
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auto result = simplex(C, A, b, 0.01, false);
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if (!(result.state == bounded)) {
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std::string state_name;
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switch (result.state) {
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case unsolvable:
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state_name = "unsolvable";
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break;
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case unbounded:
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state_name = "unbounded";
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break;
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default:
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state_name = "bounded";
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break;
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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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std::cout << "Incorrect state type. Expected bounded. Got " << state_name << std::endl;
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return 0;
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}
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delete result.solution;
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if (!check_eq(result.objective_function_value, -30.75)) {
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std::cout << "Incorrect objective function value. Expected -30.75. Got "
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<< result.objective_function_value << std::endl;
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return 0;
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}
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else {
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std::cout << "Error: unbounded" << std::endl;
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return 1;
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if (!( check_eq(result.solution[0], 0) && check_eq(result.solution[1], 0.75)
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&& check_eq(result.solution[2],5.375)
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)) {
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std::cout << "Incorrect desire variables. Expected 3 and 1.5. Got "
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<< result.solution;
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return 0;
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}
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//std::cout << "asdasd" << std::endl;
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return 1;
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}
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int TEST_WITH_SLACK_CASE() {
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std::cout << "----------------------------RUNNING_TEST_WITH_SLACK_CASE----------------------------" << std::endl;
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Vector C = {5, 4};
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Matrix A = {
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{6, 4, 1},
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{1, 2, 0},
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{-1, 1, 0},
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{0, 1, 0}
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};
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Vector b = {24, 6, 1, 2};
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auto result = simplex(C, A, b);
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if (!(result.state == bounded)) {
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std::string state_name;
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switch (result.state) {
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case unsolvable:
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state_name = "unsolvable";
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break;
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case unbounded:
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state_name = "unbounded";
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break;
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default:
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state_name = "bounded";
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break;
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}
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std::cout << "Incorrect state type. Expected bounded. Got " << state_name << std::endl;
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return 0;
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}
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if (result.objective_function_value != 21) {
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std::cout << "Incorrect objective function value. Expected 21. Got "
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<< result.objective_function_value << std::endl;
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return 0;
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}
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if (!((result.solution[0] == 3) || (result.solution[1] == 1.5))) {
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std::cout << "Incorrect desire variables. Expected 3 and 1.5. Got "
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<< result.solution[0] << result.solution[1];
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return 0;
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}
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return 1;
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}
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int TEST_UNBOUNDED_CASE() {
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std::cout << "----------------------------RUNNING_TEST_UNBOUNDED_CASE----------------------------" << std::endl;
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Vector C = {2, 1};
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Matrix A = {
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{1, -1},
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{2, 0}
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};
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Vector b = {10, 40};
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auto result = simplex(C, A, b);
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if (!(result.state == unbounded)) {
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std::string state_name;
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switch (result.state) {
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case unsolvable:
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state_name = "unsolvable";
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break;
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case unbounded:
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state_name = "unbounded";
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break;
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default:
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state_name = "bounded";
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break;
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}
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std::cout << "Incorrect state type. Expected unbounded. Got " << state_name << std::endl;
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return 0;
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}
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return 1;
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}
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int TEST_UNSOLVABLE_CASE() {
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std::cout << "----------------------------RUNNING_TEST_UNSOLVABLE_CASE----------------------------" << std::endl;
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Vector C = {5, 4};
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Matrix A = {
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{6, 4},
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{1, 2},
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{-1, 1},
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{0, 1}
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};
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Vector b = {-24, 6, 1, 2};
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auto result = simplex(C, A, b);
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if (!(result.state == unsolvable)) {
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std::string state_name;
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switch (result.state) {
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case unsolvable:
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state_name = "unsolvable";
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break;
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case unbounded:
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state_name = "unbounded";
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break;
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default:
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state_name = "bounded";
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break;
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}
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std::cout << "Incorrect state type. Expected unsolvable. Got " << state_name << std::endl;
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return 0;
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}
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return 1;
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}
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int main() {
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std::vector<std::function<int(void)>> tests = {
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TEST_GENERAL_CASE,
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TEST_MINIMIZE_CASE,
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TEST_WITH_SLACK_CASE,
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TEST_UNBOUNDED_CASE,
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TEST_UNSOLVABLE_CASE
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};
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int counter = 0;
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for (auto& test : tests) {
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counter += test();
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}
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std::cout << "----------------------------RESULTS----------------------------" << std::endl;
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std::cout << "Total number of tests: " << tests.size() << std::endl;
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std::cout << "Total number of passed tests: " << counter << std::endl;
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return 0;
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}
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+67
-135
@@ -6,30 +6,68 @@
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enum solver_state {
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unbounded,
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bounded
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bounded,
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unsolvable
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};
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struct Result {
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solver_state state;
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Vector *solution;
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Vector solution;
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double objective_function_value;
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};
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void _printInitialInputs(Vector& C, Matrix& A, Vector& b) {
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}
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void _stopIterating(Matrix& generalMatrix, Vector& C, std::vector<int>& basicVars, solver_state state, Result& result) {
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DestroyMatrix destroyedGeneralMatrix = disassembleGeneralMatrix(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 = state;
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if (state == bounded) {
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result.solution = Vector(C.size());
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for (int i = 0; i < C.size(); i++) {
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result.solution[i] = 0;
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}
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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[i];
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}
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}
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result.objective_function_value = _b[0];
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} else {
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result.solution = Vector({0});
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result.objective_function_value = 0;
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}
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}
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/*
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Implementation of the Simplex method.
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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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Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize=true) {
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if (maximize == true) {
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for (int i = 0; i < C.size(); i++) {
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C[i] = -C[i];
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}
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}
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}
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Result result{};
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Matrix generalMatrix = createGeneralMatrix(A, C, b);
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std::cout << "Before:" << std::endl;
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showMatrix(generalMatrix);
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std::cout << "Before:" << std::endl << generalMatrix;
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std::vector<int> basicVars(generalMatrix.getRows());
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basicVars[0] = -1;
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for (int i = 0; i < b.size(); ++i) {
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if (b[i] < 0) {
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_stopIterating(generalMatrix, C, basicVars, unsolvable, result);
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return result;
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}
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}
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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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@@ -37,65 +75,30 @@ Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize=tr
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while (true) {
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//3
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iterationCount++;
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int pivot_column_index = 0;
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pivot_column_index = min_index(generalMatrix[0]);
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if (generalMatrix[0][pivot_column_index] >= 0) {
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_stopIterating(generalMatrix, C, basicVars, bounded, result);
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if (!maximize) {
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result.objective_function_value = -result.objective_function_value;
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}
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return result;
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}
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std::cout << "Iteration: ";
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std::cout << iterationCount << std::endl;
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int pivot_column_index = 0;
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if (maximize) {
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pivot_column_index = min_index(generalMatrix[0]);
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if (generalMatrix[0][pivot_column_index] >= 0) {
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DestroyMatrix destroyedGeneralMatrix = disassembleGeneralMatrix(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 (size_t i = 1; i < basicVars.size(); i++) {
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if (basicVars[i] <= C.size()) {
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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 = _C[_C.size()];
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return result;
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}
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}
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if (maximize == false) {
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pivot_column_index = max_index(generalMatrix[0]);
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if (generalMatrix[0][pivot_column_index] < 0) {
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DestroyMatrix destroyedGeneralMatrix = disassembleGeneralMatrix(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 (size_t i = 1; i < basicVars.size(); i++) {
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if (basicVars[i] <= C.size()) {
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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 = _C[_C.size()];
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return result;
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}
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}
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//4
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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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if (std::abs(ratio_vector[i]) < eps) {
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ratio_vector[i] = 0;
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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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@@ -103,91 +106,20 @@ Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize=tr
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int pivot_row_index = min_index_positive(ratio_vector);
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// No leaving variable exists
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if (pivot_row_index == -1) {
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_stopIterating(generalMatrix, C, basicVars, unbounded, result);
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return result;
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}
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basicVars[pivot_row_index] = pivot_column_index;
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//5
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elimination(generalMatrix, pivot_row_index, pivot_column_index);
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std::cout << "After:" << std::endl;
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showMatrix(generalMatrix);
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if (maximize) {
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bool thereIsNegative = false;
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for (int j = 0; j < generalMatrix.getColumns()-1; ++j) {
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if (generalMatrix[0][j] < 0) {
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thereIsNegative = true;
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}
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}
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if (thereIsNegative) {
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for (int j = 0; j < generalMatrix.getColumns()-1; ++j) {
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if (generalMatrix[0][j] > 0) {
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if (generalMatrix[0][j] < (eps * (-1))) {
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showMatrix(generalMatrix);
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std::cout << generalMatrix[0][j] << std::endl;
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return result;
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}
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}
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}
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}
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}
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||||
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;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
std::cout << "After:" << std::endl << generalMatrix;
|
||||
}
|
||||
|
||||
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];
|
||||
|
||||
}
|
||||
*/
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
@@ -6,15 +6,18 @@
|
||||
|
||||
enum solver_state {
|
||||
unbounded,
|
||||
bounded
|
||||
bounded,
|
||||
unsolvable
|
||||
};
|
||||
|
||||
struct Result {
|
||||
solver_state state;
|
||||
Vector *solution;
|
||||
double objective_fucntion_value;
|
||||
Vector solution;
|
||||
double objective_function_value;
|
||||
};
|
||||
|
||||
Result Simplex(Vector C, Matrix A, Vector b, double eps = 0.01, bool maximize = true);
|
||||
void _printInitialInputs(Vector& C, Matrix& A, Vector& b);
|
||||
void _stopIterating(Matrix& generalMatrix, std::vector<int>& basicVars, Result& result);
|
||||
Result simplex(Vector& C, Matrix& A, Vector& b, double eps = 0.01, bool maximize = true);
|
||||
|
||||
#endif // SIMPLEX_H
|
||||
+55
-12
@@ -18,14 +18,14 @@ DestroyMatrix disassembleGeneralMatrix(Matrix& generalMatrix) {
|
||||
|
||||
Matrix A(rows - 1, cols - 1);
|
||||
Vector C(cols - 1);
|
||||
Vector b(rows - 1);
|
||||
Vector b(rows);
|
||||
|
||||
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 = 0; i < rows; ++i) {
|
||||
b[i] = generalMatrix[i][cols - 1];
|
||||
}
|
||||
|
||||
for (int i = 1; i < rows; ++i) {
|
||||
@@ -38,19 +38,62 @@ DestroyMatrix disassembleGeneralMatrix(Matrix& generalMatrix) {
|
||||
}
|
||||
|
||||
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];
|
||||
|
||||
int m = A.getRows() + 1;
|
||||
int n = A.getColumns() + 1;
|
||||
|
||||
// States if equation has a slack variable
|
||||
std::vector<bool> has_slack(A.getColumns(), false);
|
||||
int number_of_slack = 0;
|
||||
|
||||
for (int j = 0; j < A.getColumns(); ++j) {
|
||||
int basic_var_index = 0;
|
||||
int ones = 0;
|
||||
int zeros = 0;
|
||||
|
||||
for (int i = 0; i < A.getRows(); ++i) {
|
||||
if (A[i][j] == 1) {
|
||||
basic_var_index = i;
|
||||
++ones;
|
||||
} else if (A[i][j] == 0) {
|
||||
++zeros;
|
||||
}
|
||||
}
|
||||
|
||||
if (ones + zeros == A.getRows()) {
|
||||
has_slack[basic_var_index] = true;
|
||||
number_of_slack += 1;
|
||||
}
|
||||
}
|
||||
|
||||
// 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];
|
||||
n = n + A.getRows() - number_of_slack;
|
||||
Matrix generalMatrix(m, n);
|
||||
for (int i = 0; i < n; i++) {
|
||||
if (i < C.size()) {
|
||||
generalMatrix[0][i] = C[i];
|
||||
} else {
|
||||
generalMatrix[0][i] = 0;
|
||||
}
|
||||
}
|
||||
|
||||
for (int i = 0; i < A.getRows(); i++) {
|
||||
for (int j = 0; j < A.getColumns(); j++) {
|
||||
generalMatrix[i + 1][j] = A[i][j];
|
||||
// For objective function (j=0) the value is set to zero one step before
|
||||
for (int j = 1; j < m; j++) {
|
||||
generalMatrix[j][n-1] = b[j-1];
|
||||
}
|
||||
|
||||
int k = 0;
|
||||
for (int i = 0; i < m - 1; i++) {
|
||||
for (int j = 0; j < n - 1; j++) {
|
||||
if (j < A.getColumns()) {
|
||||
generalMatrix[i + 1][j] = A[i][j];
|
||||
} else {
|
||||
generalMatrix[i + 1][j] = 0;
|
||||
}
|
||||
}
|
||||
|
||||
if (!has_slack[i]) {
|
||||
generalMatrix[i + 1][A.getColumns() + k] = 1;
|
||||
++k;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
+2
-1
@@ -26,7 +26,8 @@ int min_index_positive(Vector vector) {
|
||||
++i;
|
||||
}
|
||||
if (i >= vector.size()) {
|
||||
throw std::runtime_error("No positive min found");
|
||||
// No positive value found -> iterations stop
|
||||
return -1;
|
||||
}
|
||||
int temp_index = i;
|
||||
double temp = vector[i];
|
||||
|
||||
+37
-49
@@ -1,47 +1,5 @@
|
||||
#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;
|
||||
@@ -263,15 +221,45 @@ std::istream& operator>>(std::istream& cin, Matrix& matrixObj) {
|
||||
}
|
||||
|
||||
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] << ' ';
|
||||
size_t maxNumberLength = 1;
|
||||
for (int y = 0; y < matrixObj.getRows(); y++) {
|
||||
for (int x = 0; x < matrixObj.getColumns(); x++) {
|
||||
if (std::to_string(matrixObj[y][x]).length() > maxNumberLength) {
|
||||
maxNumberLength = std::to_string(matrixObj[y][x]).length();
|
||||
}
|
||||
}
|
||||
}
|
||||
//std::cout << maxNumberLength << std::endl;
|
||||
std::cout << std::endl;
|
||||
for (int y = 0; y < matrixObj.getRows(); y++) {
|
||||
std::string row = "";
|
||||
for (int x = 0; x < matrixObj.getColumns(); x++) {
|
||||
std::string strNumber = std::to_string(matrixObj[y][x]);
|
||||
bool spaceRight = true;
|
||||
while (strNumber.length() < maxNumberLength) {
|
||||
if (spaceRight) {
|
||||
strNumber += " ";
|
||||
}
|
||||
else {
|
||||
strNumber = " " + strNumber;
|
||||
}
|
||||
spaceRight = !spaceRight;
|
||||
strNumber = "" + strNumber;
|
||||
|
||||
}
|
||||
if (matrixObj[y][x] == 0) {
|
||||
row += "[\033[0m" + strNumber + "\033[0m] ";
|
||||
}
|
||||
else if(matrixObj[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;
|
||||
|
||||
return cout;
|
||||
}
|
||||
|
||||
@@ -97,6 +97,4 @@ public:
|
||||
friend std::ostream& operator<<(std::ostream& cout, Matrix& matrixObj);
|
||||
};
|
||||
|
||||
void showMatrix(Matrix);
|
||||
|
||||
#endif // TOOLS_MATRIX_H
|
||||
|
||||
Reference in New Issue
Block a user