Merge branch 'master' into LakshmiSrikumar-patch-1

Author: realstealthninja

DIRECTORY.md

@@ -340,6 +340,7 @@
   * [Sparse Table](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/range_queries/sparse_table.cpp)
 
 ## Search
+  * [Longest Increasing Subsequence Using Binary Search](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/search/Longest_Increasing_Subsequence_using_binary_search.cpp)
   * [Binary Search](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/search/binary_search.cpp)
   * [Exponential Search](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/search/exponential_search.cpp)
   * [Fibonacci Search](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/search/fibonacci_search.cpp)

dynamic_programming/Unbounded_0_1_Knapsack.cpp

@@ -0,0 +1,151 @@
+/**
+ * @file
+ * @brief Implementation of the Unbounded 0/1 Knapsack Problem
+ * 
+ * @details 
+ * The Unbounded 0/1 Knapsack problem allows taking unlimited quantities of each item. 
+ * The goal is to maximize the total value without exceeding the given knapsack capacity. 
+ * Unlike the 0/1 knapsack, where each item can be taken only once, in this variation, 
+ * any item can be picked any number of times as long as the total weight stays within 
+ * the knapsack's capacity.
+ * 
+ * Given a set of N items, each with a weight and a value, represented by the arrays 
+ * `wt` and `val` respectively, and a knapsack with a weight limit W, the task is to 
+ * fill the knapsack to maximize the total value.
+ *
+ * @note weight and value of items is greater than zero 
+ *
+ * ### Algorithm
+ * The approach uses dynamic programming to build a solution iteratively. 
+ * A 2D array is used for memoization to store intermediate results, allowing 
+ * the function to avoid redundant calculations.
+ * 
+ * @author [Sanskruti Yeole](https://github.com/yeolesanskruti)
+ * @see dynamic_programming/0_1_knapsack.cpp
+ */
+
+#include <iostream>  // Standard input-output stream
+#include <vector>   // Standard library for using dynamic arrays (vectors)
+#include <cassert>  // For using assert function to validate test cases
+#include <cstdint>  // For fixed-width integer types like std::uint16_t
+
+/**
+ * @namespace dynamic_programming
+ * @brief Namespace for dynamic programming algorithms
+ */
+namespace dynamic_programming {
+
+/**
+ * @namespace Knapsack
+ * @brief Implementation of unbounded 0-1 knapsack problem
+ */
+namespace unbounded_knapsack {
+
+/**
+ * @brief Recursive function to calculate the maximum value obtainable using 
+ *        an unbounded knapsack approach.
+ *
+ * @param i Current index in the value and weight vectors.
+ * @param W Remaining capacity of the knapsack.
+ * @param val Vector of values corresponding to the items.
+ * @note "val" data type can be changed according to the size of the input.
+ * @param wt Vector of weights corresponding to the items.
+ * @note "wt" data type can be changed according to the size of the input.
+ * @param dp 2D vector for memoization to avoid redundant calculations.
+ * @return The maximum value that can be obtained for the given index and capacity.
+ */
+std::uint16_t KnapSackFilling(std::uint16_t i, std::uint16_t W, 
+                    const std::vector<std::uint16_t>& val, 
+                    const std::vector<std::uint16_t>& wt, 
+                    std::vector<std::vector<int>>& dp) {
+    if (i == 0) {
+        if (wt[0] <= W) {
+            return (W / wt[0]) * val[0]; // Take as many of the first item as possible
+        } else {
+            return 0; // Can't take the first item
+        }
+    }
+    if (dp[i][W] != -1) return dp[i][W]; // Return result if available
+
+    int nottake = KnapSackFilling(i - 1, W, val, wt, dp); // Value without taking item i
+    int take = 0;
+    if (W >= wt[i]) {
+        take = val[i] + KnapSackFilling(i, W - wt[i], val, wt, dp); // Value taking item i
+    }
+    return dp[i][W] = std::max(take, nottake); // Store and return the maximum value
+}
+
+/**
+ * @brief Wrapper function to initiate the unbounded knapsack calculation.
+ *
+ * @param N Number of items.
+ * @param W Maximum weight capacity of the knapsack.
+ * @param val Vector of values corresponding to the items.
+ * @param wt Vector of weights corresponding to the items.
+ * @return The maximum value that can be obtained for the given capacity.
+ */
+std::uint16_t unboundedKnapsack(std::uint16_t N, std::uint16_t W, 
+                      const std::vector<std::uint16_t>& val, 
+                      const std::vector<std::uint16_t>& wt) {
+    if(N==0)return 0; // Expect 0 since no items
+    std::vector<std::vector<int>> dp(N, std::vector<int>(W + 1, -1)); // Initialize memoization table
+    return KnapSackFilling(N - 1, W, val, wt, dp); // Start the calculation
+}
+
+} // unbounded_knapsack
+
+} // dynamic_programming
+
+/**
+ * @brief self test implementation
+ * @return void
+ */
+static void tests() {
+    // Test Case 1
+    std::uint16_t N1 = 4;  // Number of items
+    std::vector<std::uint16_t> wt1 = {1, 3, 4, 5}; // Weights of the items
+    std::vector<std::uint16_t> val1 = {6, 1, 7, 7}; // Values of the items
+    std::uint16_t W1 = 8; // Maximum capacity of the knapsack
+    // Test the function and assert the expected output
+    assert(unboundedKnapsack(N1, W1, val1, wt1) == 48);
+    std::cout << "Maximum Knapsack value " << unboundedKnapsack(N1, W1, val1, wt1) << std::endl;
+
+    // Test Case 2
+    std::uint16_t N2 = 3; // Number of items
+    std::vector<std::uint16_t> wt2 = {10, 20, 30}; // Weights of the items
+    std::vector<std::uint16_t> val2 = {60, 100, 120}; // Values of the items
+    std::uint16_t W2 = 5; // Maximum capacity of the knapsack
+    // Test the function and assert the expected output
+    assert(unboundedKnapsack(N2, W2, val2, wt2) == 0);
+    std::cout << "Maximum Knapsack value " << unboundedKnapsack(N2, W2, val2, wt2) << std::endl;
+
+    // Test Case 3
+    std::uint16_t N3 = 3; // Number of items
+    std::vector<std::uint16_t> wt3 = {2, 4, 6}; // Weights of the items
+    std::vector<std::uint16_t> val3 = {5, 11, 13};// Values of the items 
+    std::uint16_t W3 = 27;// Maximum capacity of the knapsack 
+    // Test the function and assert the expected output
+    assert(unboundedKnapsack(N3, W3, val3, wt3) == 27);
+    std::cout << "Maximum Knapsack value " << unboundedKnapsack(N3, W3, val3, wt3) << std::endl;
+
+    // Test Case 4
+    std::uint16_t N4 = 0; // Number of items
+    std::vector<std::uint16_t> wt4 = {}; // Weights of the items
+    std::vector<std::uint16_t> val4 = {}; // Values of the items 
+    std::uint16_t W4 = 10; // Maximum capacity of the knapsack
+    assert(unboundedKnapsack(N4, W4, val4, wt4) == 0); 
+    std::cout << "Maximum Knapsack value for empty arrays: " << unboundedKnapsack(N4, W4, val4, wt4) << std::endl;
+  
+    std::cout << "All test cases passed!" << std::endl;
+
+}
+
+/**
+ * @brief main function
+ * @return 0 on successful exit
+ */
+int main() {
+    tests(); // Run self test implementation 
+    return 0;
+}
+

greedy_algorithms/binary_addition.cpp

@@ -0,0 +1,119 @@
+/**
+ * @file binary_addition.cpp
+ * @brief Adds two binary numbers and outputs resulting string
+ *
+ * @details The algorithm for adding two binary strings works by processing them
+ * from right to left, similar to manual addition. It starts by determining the
+ * longer string's length to ensure both strings are fully traversed. For each
+ * pair of corresponding bits and any carry from the previous addition, it
+ * calculates the sum. If the sum exceeds 1, a carry is generated for the next
+ * bit. The results for each bit are collected in a result string, which is
+ * reversed at the end to present the final binary sum correctly. Additionally,
+ * the function validates the input to ensure that only valid binary strings
+ * (containing only '0' and '1') are processed. If invalid input is detected,
+ * it returns an empty string.
+ * @author [Muhammad Junaid Khalid](https://github.com/mjk22071998)
+ */
+
+#include <algorithm>  /// for reverse function
+#include <cassert>    /// for tests
+#include <iostream>   /// for input and outputs
+#include <string>     /// for string class
+
+/**
+ * @namespace
+ * @brief Greedy Algorithms
+ */
+namespace greedy_algorithms {
+/**
+ * @brief A class to perform binary addition of two binary strings.
+ */
+class BinaryAddition {
+ public:
+    /**
+     * @brief Adds two binary strings and returns the result as a binary string.
+     * @param a The first binary string.
+     * @param b The second binary string.
+     * @return The sum of the two binary strings as a binary string, or an empty
+     * string if either input string contains non-binary characters.
+     */
+    std::string addBinary(const std::string& a, const std::string& b) {
+        if (!isValidBinaryString(a) || !isValidBinaryString(b)) {
+            return "";  // Return empty string if input contains non-binary
+                        // characters
+        }
+
+        std::string result;
+        int carry = 0;
+        int maxLength = std::max(a.size(), b.size());
+
+        // Traverse both strings from the end to the beginning
+        for (int i = 0; i < maxLength; ++i) {
+            // Get the current bits from both strings, if available
+            int bitA = (i < a.size()) ? (a[a.size() - 1 - i] - '0') : 0;
+            int bitB = (i < b.size()) ? (b[b.size() - 1 - i] - '0') : 0;
+
+            // Calculate the sum of bits and carry
+            int sum = bitA + bitB + carry;
+            carry = sum / 2;  // Determine the carry for the next bit
+            result.push_back((sum % 2) +
+                             '0');  // Append the sum's current bit to result
+        }
+        if (carry) {
+            result.push_back('1');
+        }
+        std::reverse(result.begin(), result.end());
+        return result;
+    }
+
+ private:
+    /**
+     * @brief Validates whether a string contains only binary characters (0 or 1).
+     * @param str The string to validate.
+     * @return true if the string is binary, false otherwise.
+     */
+    bool isValidBinaryString(const std::string& str) const {
+        return std::all_of(str.begin(), str.end(),
+                           [](char c) { return c == '0' || c == '1'; });
+    }
+};
+}  // namespace greedy_algorithms
+
+/**
+ * @brief run self test implementation.
+ * @returns void
+ */
+static void tests() {
+    greedy_algorithms::BinaryAddition binaryAddition;
+
+    // Valid binary string tests
+    assert(binaryAddition.addBinary("1010", "1101") == "10111");
+    assert(binaryAddition.addBinary("1111", "1111") == "11110");
+    assert(binaryAddition.addBinary("101", "11") == "1000");
+    assert(binaryAddition.addBinary("0", "0") == "0");
+    assert(binaryAddition.addBinary("1111", "1111") == "11110");
+    assert(binaryAddition.addBinary("0", "10101") == "10101");
+    assert(binaryAddition.addBinary("10101", "0") == "10101");
+    assert(binaryAddition.addBinary("101010101010101010101010101010",
+                                    "110110110110110110110110110110") ==
+           "1100001100001100001100001100000");
+    assert(binaryAddition.addBinary("1", "11111111") == "100000000");
+    assert(binaryAddition.addBinary("10101010", "01010101") == "11111111");
+
+    // Invalid binary string tests (should return empty string)
+    assert(binaryAddition.addBinary("10102", "1101") == "");
+    assert(binaryAddition.addBinary("ABC", "1101") == "");
+    assert(binaryAddition.addBinary("1010", "1102") == "");
+    assert(binaryAddition.addBinary("111", "1x1") == "");
+    assert(binaryAddition.addBinary("1x1", "111") == "");
+    assert(binaryAddition.addBinary("1234", "1101") == "");
+}
+
+/**
+ * @brief main function
+ * @returns 0 on successful exit
+ */
+int main() {
+    tests(); /// To execute tests
+    return 0;
+}