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a73323e
Adding dynamic programming solution for unique paths problem
singhsayan ba22f9f
Update unique_paths.cpp
singhsayan d87ca7c
Refactor Unique Paths as requested in code review
singhsayan 8dce8c6
Update unique_paths.cpp
singhsayan 548c500
Updated code
singhsayan 1a71f3b
Updated_code
singhsayan eb39769
Merge branch 'master' into feat/grid_unique_path
singhsayan 5e5b2cd
Update unique_paths.cpp
singhsayan 35fe129
Merge branch 'master' into feat/grid_unique_path
realstealthninja d7f9c60
Update unique_paths.cpp
singhsayan df740a0
Update unique_paths.cpp
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/** | ||
* @file | ||
* @brief Implementation of Unique Paths (LeetCode 62) using Dynamic Programming. | ||
* @details | ||
* A robot is located at the top-left corner of an m × n grid. | ||
* The robot can move either down or right at any point in time. | ||
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* This program computes the total number of unique paths to reach | ||
* the bottom-right corner. | ||
* | ||
* Note: This is **Unique Paths I** (no obstacles). Obstacles are handled in | ||
* the separate problem **Unique Paths II**. | ||
* | ||
* Approaches: | ||
* - **Memoization (Top-Down)**: Recursively explores solutions while | ||
* storing intermediate results in a cache (`memoization_table`) to avoid redundant | ||
* computation. Typically more intuitive and easy to write, but | ||
* relies on recursion and has associated call-stack overhead. | ||
* | ||
* - **Tabulation (Bottom-Up)**: Iteratively builds the solution using | ||
* a DP table, starting from the base cases and filling up the table. | ||
* Offers consistent performance without recursion overhead and | ||
* is generally more space-efficient when optimized. | ||
* | ||
* @see https://leetcode.com/problems/unique-paths/ | ||
*/ | ||
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#include <iostream> | ||
#include <vector> | ||
#include <cassert> | ||
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/** | ||
* @namespace dynamic_programming | ||
* @brief Dynamic Programming algorithms | ||
*/ | ||
namespace dynamic_programming { | ||
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/** | ||
* @class UniquePathsSolver | ||
* @brief Solves the Unique Paths problem using both memoization and tabulation. | ||
*/ | ||
class UniquePathsSolver { | ||
private: | ||
std::vector<std::vector<int>> memoization_table; ///< Memoization table to cache intermediate results (-1 = uncomputed) | ||
std::size_t m; ///< Number of rows in the grid | ||
std::size_t n; ///< Number of columns in the grid | ||
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/** | ||
* @brief Bottom-up Tabulation solution. | ||
* @return int Number of unique paths from (0, 0) to (m-1, n-1) | ||
*/ | ||
int solveTabulation() { | ||
std::vector<std::vector<int>> table(m, std::vector<int>(n, 0)); | ||
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// base cases: last column and last row | ||
for (std::size_t i = 0; i < m; i++) table[i][n - 1] = 1; | ||
for (std::size_t j = 0; j < n; j++) table[m - 1][j] = 1; | ||
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// fill the table from bottom-right to top-left | ||
for (std::size_t i = m - 1; i-- > 0;) { | ||
for (std::size_t j = n - 1; j-- > 0;) { | ||
table[i][j] = table[i + 1][j] + table[i][j + 1]; | ||
} | ||
} | ||
return table[0][0]; | ||
} | ||
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public: | ||
/** | ||
* @brief Constructor initializes dimensions and memoization table | ||
* @param rows number of rows in the grid (must be > 0) | ||
* @param cols number of columns in the grid (must be > 0) | ||
*/ | ||
UniquePathsSolver(std::size_t rows, std::size_t cols) : m(rows), n(cols) { | ||
memoization_table.assign(m, std::vector<int>(n, -1)); | ||
} | ||
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/** | ||
* @brief Get number of unique paths using Memoization (Top-Down) | ||
* @param i current row index (default = 0) | ||
* @param j current column index (default = 0) | ||
* @return int Number of unique paths from (i, j) to (m-1, n-1) | ||
*/ | ||
int uniquePathsMemo(std::size_t i = 0, std::size_t j = 0) { | ||
if (i >= m || j >= n) return 0; | ||
if (i == m - 1 && j == n - 1) return 1; | ||
if (memoization_table.at(i).at(j) != -1) return memoization_table.at(i).at(j); | ||
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memoization_table.at(i).at(j) = | ||
uniquePathsMemo(i + 1, j) + uniquePathsMemo(i, j + 1); | ||
return memoization_table.at(i).at(j); | ||
} | ||
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/** | ||
* @brief Get number of unique paths using Tabulation (Bottom-Up) | ||
* @return int Number of unique paths from (0, 0) to (m-1, n-1) | ||
*/ | ||
int uniquePathsTabulation() { return solveTabulation(); } | ||
}; | ||
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} // namespace dynamic_programming | ||
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/** | ||
* @brief Self-test implementations | ||
*/ | ||
static void test() { | ||
using namespace dynamic_programming; | ||
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UniquePathsSolver solver1(3, 7); | ||
assert(solver1.uniquePathsMemo() == 28); | ||
assert(solver1.uniquePathsTabulation() == 28); | ||
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UniquePathsSolver solver2(3, 2); | ||
assert(solver2.uniquePathsMemo() == 3); | ||
assert(solver2.uniquePathsTabulation() == 3); | ||
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UniquePathsSolver solver3(1, 1); | ||
assert(solver3.uniquePathsMemo() == 1); | ||
assert(solver3.uniquePathsTabulation() == 1); | ||
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UniquePathsSolver solver4(2, 2); | ||
assert(solver4.uniquePathsMemo() == 2); | ||
assert(solver4.uniquePathsTabulation() == 2); | ||
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std::cout << "All tests have successfully passed!\n"; | ||
} | ||
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/** | ||
* @brief Main function | ||
* @returns 0 on successful execution | ||
*/ | ||
int main() { | ||
test(); // run self-tests | ||
return 0; | ||
} |
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