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bit_manipulation/travelling_salesman_using_bit_manipulation.cpp
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/** | ||
* @file | ||
* @brief Implementation to | ||
* [Travelling Salesman problem using bit-masking] | ||
* (https://www.geeksforgeeks.org/travelling-salesman-problem-set-1/) | ||
* | ||
* @details | ||
* Given the distance/cost(as and adjacency matrix) between each city/node to the other city/node , | ||
* the problem is to find the shortest possible route that visits every city exactly once | ||
* and returns to the starting point or we can say the minimum cost of whole tour. | ||
* | ||
* Explanation: | ||
* INPUT -> You are given with a adjacency matrix A = {} which contains the distance between two cities/node. | ||
* | ||
* OUTPUT -> Minimum cost of whole tour from starting point | ||
* | ||
* Worst Case Time Complexity: O(n^2 * 2^n) | ||
* Space complexity: O(n) | ||
* @author [Utkarsh Yadav](https://github.com/Rytnix) | ||
*/ | ||
#include <algorithm> /// for std::min | ||
#include <cassert> /// for assert | ||
#include <iostream> /// for IO operations | ||
#include <vector> /// for std::vector | ||
#include <limits> /// for limits of integral types | ||
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/** | ||
* @namespace bit_manipulation | ||
* @brief Bit manipulation algorithms | ||
*/ | ||
namespace bit_manipulation { | ||
/** | ||
* @namespace travellingSalesman_bitmanipulation | ||
* @brief Functions for the [Travelling Salesman | ||
* Bitmask](https://www.geeksforgeeks.org/travelling-salesman-problem-set-1/) | ||
* implementation | ||
*/ | ||
namespace travelling_salesman_using_bit_manipulation { | ||
/** | ||
* @brief The function implements travellingSalesman using bitmanipulation | ||
* @param dist is the cost to reach between two cities/nodes | ||
* @param setOfCitites represents the city in bit form.\ | ||
* @param city is taken to track the current city movement. | ||
* @param n is the no of citys . | ||
* @param dp vector is used to keep a record of state to avoid the recomputation. | ||
* @returns minimum cost of traversing whole nodes/cities from starting point back to starting point | ||
*/ | ||
std::uint64_t travelling_salesman_using_bit_manipulation(std::vector<std::vector<uint32_t>> dist, // dist is the adjacency matrix containing the distance. | ||
// setOfCities as a bit represent the cities/nodes. Ex: if setOfCities = 2 => 0010(in binary) | ||
// means representing the city/node B if city/nodes are represented as D->C->B->A. | ||
std::uint64_t setOfCities, | ||
std::uint64_t city, // city is taken to track our current city/node movement,where we are currently. | ||
std::uint64_t n, // n is the no of cities we have. | ||
std::vector<std::vector<uint32_t>> &dp) //dp is taken to memorize the state to avoid recomputition | ||
{ | ||
//base case; | ||
if (setOfCities == (1 << n) - 1) // we have covered all the cities | ||
return dist[city][0]; //return the cost from the current city to the original city. | ||
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if (dp[setOfCities][city] != -1) | ||
return dp[setOfCities][city]; | ||
//otherwise try all possible options | ||
uint64_t ans = 2147483647 ; | ||
for (int choice = 0; choice < n; choice++) { | ||
//check if the city is visited or not. | ||
if ((setOfCities & (1 << choice)) == 0 ) { // this means that this perticular city is not visited. | ||
std::uint64_t subProb = dist[city][choice] + travelling_salesman_using_bit_manipulation(dist, setOfCities | (1 << choice), choice, n, dp); | ||
// Here we are doing a recursive call to tsp with the updated set of city/node | ||
// and choice which tells that where we are currently. | ||
ans = std::min(ans, subProb); | ||
} | ||
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} | ||
dp[setOfCities][city] = ans; | ||
return ans; | ||
} | ||
} // namespace travelling_salesman_using_bit_manipulation | ||
} // namespace bit_manipulation | ||
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/** | ||
* @brief Self-test implementations | ||
* @returns void | ||
*/ | ||
static void test() { | ||
// 1st test-case | ||
std::vector<std::vector<uint32_t>> dist = { | ||
{0, 20, 42, 35}, {20, 0, 30, 34}, {42, 30, 0, 12}, {35, 34, 12, 0} | ||
}; | ||
uint32_t V = dist.size(); | ||
std::vector<std::vector<uint32_t>> dp(1 << V, std::vector<uint32_t>(V, -1)); | ||
assert(bit_manipulation::travelling_salesman_using_bit_manipulation::travelling_salesman_using_bit_manipulation(dist, 1, 0, V, dp) == 97); | ||
std::cout << "1st test-case: passed!" << "\n"; | ||
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// 2nd test-case | ||
dist = {{0, 5, 10, 15}, {5, 0, 20, 30}, {10, 20, 0, 35}, {15, 30, 35, 0}}; | ||
V = dist.size(); | ||
std::vector<std::vector<uint32_t>> dp1(1 << V, std::vector<uint32_t>(V, -1)); | ||
assert(bit_manipulation::travelling_salesman_using_bit_manipulation::travelling_salesman_using_bit_manipulation(dist, 1, 0, V, dp1) == 75); | ||
std::cout << "2nd test-case: passed!" << "\n"; | ||
// 3rd test-case | ||
dist = { | ||
{0, 10, 15, 20}, {10, 0, 35, 25}, {15, 35, 0, 30}, {20, 25, 30, 0} | ||
}; | ||
V = dist.size(); | ||
std::vector<std::vector<uint32_t>> dp2(1 << V, std::vector<uint32_t>(V, -1)); | ||
assert(bit_manipulation::travelling_salesman_using_bit_manipulation::travelling_salesman_using_bit_manipulation(dist, 1, 0, V, dp2) == 80); | ||
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std::cout << "3rd test-case: passed!" << "\n"; | ||
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} | ||
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/** | ||
* @brief Main function | ||
* @returns 0 on exit | ||
*/ | ||
int main() { | ||
test(); // run self-test implementations | ||
return 0; | ||
} |
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/** | ||
* @file | ||
* @author danghai | ||
* @author [Piotr Idzik](https://github.com/vil02) | ||
* @brief This class specifies the basic operation on a stack as a linked list | ||
**/ | ||
#ifndef DATA_STRUCTURES_STACK_HPP_ | ||
#define DATA_STRUCTURES_STACK_HPP_ | ||
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#include <iostream> /// for IO operations | ||
#include <memory> /// for std::shared_ptr | ||
#include <stdexcept> /// for std::invalid_argument | ||
#include <vector> /// for std::vector | ||
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/** Definition of the node as a linked-list | ||
* \tparam ValueType type of data nodes of the linked list should contain | ||
*/ | ||
template <class ValueType> | ||
struct node { | ||
ValueType data = {}; ///< data at current node | ||
std::shared_ptr<node<ValueType>> next = | ||
{}; ///< pointer to the next ::node instance | ||
}; | ||
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template <typename Node, typename Action> | ||
void traverse(const Node* const inNode, const Action& action) { | ||
if (inNode) { | ||
action(*inNode); | ||
traverse(inNode->next.get(), action); | ||
} | ||
} | ||
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/** Definition of the stack class | ||
* \tparam value_type type of data nodes of the linked list in the stack should | ||
* contain | ||
*/ | ||
template <class ValueType> | ||
class stack { | ||
public: | ||
using value_type = ValueType; | ||
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/** Show stack */ | ||
void display() const { | ||
std::cout << "Top --> "; | ||
traverse(stackTop.get(), [](const node<value_type>& inNode) { | ||
std::cout << inNode.data << " "; | ||
}); | ||
std::cout << std::endl; | ||
std::cout << "Size of stack: " << size << std::endl; | ||
} | ||
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std::vector<value_type> toVector() const { | ||
std::vector<value_type> res; | ||
res.reserve(this->size); | ||
traverse(stackTop.get(), [&res](const node<value_type>& inNode) { | ||
res.push_back(inNode.data); | ||
}); | ||
return res; | ||
} | ||
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private: | ||
void ensureNotEmpty() const { | ||
if (isEmptyStack()) { | ||
throw std::invalid_argument("Stack is empty."); | ||
} | ||
} | ||
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public: | ||
/** Determine whether the stack is empty */ | ||
bool isEmptyStack() const { return (stackTop == nullptr); } | ||
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/** Add new item to the stack */ | ||
void push(const value_type& item) { | ||
auto newNode = std::make_shared<node<value_type>>(); | ||
newNode->data = item; | ||
newNode->next = stackTop; | ||
stackTop = newNode; | ||
size++; | ||
} | ||
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/** Return the top element of the stack */ | ||
value_type top() const { | ||
ensureNotEmpty(); | ||
return stackTop->data; | ||
} | ||
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/** Remove the top element of the stack */ | ||
void pop() { | ||
ensureNotEmpty(); | ||
stackTop = stackTop->next; | ||
size--; | ||
} | ||
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/** Clear stack */ | ||
void clear() { | ||
stackTop = nullptr; | ||
size = 0; | ||
} | ||
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private: | ||
std::shared_ptr<node<value_type>> stackTop = | ||
{}; /**< Pointer to the stack */ | ||
std::size_t size = 0; ///< size of stack | ||
}; | ||
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#endif // DATA_STRUCTURES_STACK_HPP_ |
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