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#include #include #include #include / / Forward declaration of Solution class class Solution; / / Abstract base class class Problem { public: virtual Solution solveDivideAndConquer

#include
#include
#include
#include
// Forward declaration of Solution class
class Solution;
// Abstract base class
class Problem {
public:
virtual Solution solveDivideAndConquer()=0;
virtual Solution solveGreedy()=0;
virtual Solution solveLasVegas()=0;
virtual bool solved()=0;
virtual bool trivial()=0;
virtual Solution createSolution()=0;
virtual std::vector makeSubproblems()=0;
virtual Solution combineSolutions(std::vector partialSolutions)=0;
virtual Problem applyBestAction()=0;
virtual Problem applyRandomAction()=0;
};
// Solution class - implement as needed
class Solution {
// Implementation details here
};
// Derived class implementing search and sort algorithms
class SearchAndSortProblem : public Problem {
public:
// Implement methods required by Problem class
Solution solveDivideAndConquer() override {
// Implement divide and conquer algorithm
}
Solution solveGreedy() override {
// Implement greedy algorithm
}
Solution solveLasVegas() override {
// Implement Las Vegas algorithm
}
bool solved() override {
// Implementation
}
bool trivial() override {
// Implementation
}
Solution createSolution() override {
// Implementation
}
std::vector makeSubproblems() override {
// Implementation
}
Solution combineSolutions(std::vector partialSolutions) override {
// Implementation
}
Problem applyBestAction() override {
// Implementation
}
Problem applyRandomAction() override {
// Implementation
}
// Implement sorting algorithms
void mergeSort(std::vector& arr){
// Implement merge sort
}
void heapSort(std::vector& arr){
// Implement heap sort
}
void quickSort(std::vector& arr){
// Implement quick sort
}
// Other helper methods if needed
};
int main(){
// Test your algorithms here
SearchAndSortProblem problemInstance;
// Generate random data
std::vector data(10);
std::generate(data.begin(), data.end(),[](){ return rand()%100; });
// Test sorting algorithms
problemInstance.mergeSort(data);
// Output sorted data
for (int num : data){
std::cout num "";
}
std::cout std::endl;
return 0;
}PProperties / Methods - Class Diagramrogramming Assignment: Search and Sort Algorithms with C++20 and STL
Objective: The objective of this programming assignment is to implement various search algorithms (divide and conquer, greedy, Las Vegas) and sorting algorithms (merge sort, heap sort, quick sort) within the context of an abstract base class in C++20 using the Standard Template Library (STL). This assignment aims to enhance your understanding of algorithmic strategies and their application in real-world problem-solving scenarios.
Figure 1: The Abstract Problem Class
Assignment Tasks:
Implement the required abstract methods required by the solve_divide_and_conquer(), solve_greedy(), and solve_las_vegas() methods in the Problem class. Choose appropriate algorithms for each.
Implement the merge_sort(), heap_sort(), and quick_sort() methods in the derived SearchAndSortProblem class using C++20 and STL.
Test the implemented algorithms by creating an instance of the SearchAndSortProblem class with randomly generated data.
Assessment Criteria:
Your assignment will be assessed based on the following criteria:
Algorithmic Correctness: Ensure that your implementations of search and sort algorithms are correct and produce the expected results.
Code Readability: Write clear, well-documented, and organized code. Use meaningful variable and function names.
STL Usage: Demonstrate effective use of C++20 features and STL algorithms for sorting and other operations.
Abstraction: Utilize the abstract base class appropriately, providing concrete implementations for the specified methods.
Testing: Conduct thorough testing of the implemented algorithms to validate their correctness and efficiency.
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