Add approach for change (#2859)

exercises/practice/change/.approaches/config.json

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+{
+  "introduction": {
+    "authors": [
+      "jagdish-15"
+    ]
+  },
+  "approaches": [
+    {
+      "uuid": "d0b615ca-3a02-4d66-ad10-e0c513062189",
+      "slug": "dynamic-programming",
+      "title": "Dynamic Programming Approach",
+      "blurb": "Use dynamic programming to find the most efficient change combination.",
+      "authors": [
+        "jagdish-15"
+      ],
+      "contributors": [
+        "kahgoh"
+      ]
+    }
+  ]
+}

exercises/practice/change/.approaches/dynamic-programming/content.md

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+# Dynamic Programming Approach
+
+```java
+import java.util.List;
+import java.util.ArrayList;
+
+class ChangeCalculator {
+    private final List<Integer> currencyCoins;
+
+    ChangeCalculator(List<Integer> currencyCoins) {
+        this.currencyCoins = currencyCoins;
+    }
+
+    List<Integer> computeMostEfficientChange(int grandTotal) {
+        if (grandTotal < 0) 
+            throw new IllegalArgumentException("Negative totals are not allowed.");
+
+        List<List<Integer>> coinsUsed = new ArrayList<>(grandTotal + 1);
+        coinsUsed.add(new ArrayList<Integer>());
+
+        for (int i = 1; i <= grandTotal; i++) {
+            List<Integer> bestCombination = null;
+            for (int coin: currencyCoins) {
+                if (coin <= i && coinsUsed.get(i - coin) != null) {
+                    List<Integer> currentCombination = new ArrayList<>(coinsUsed.get(i - coin));
+                    currentCombination.add(0, coin);
+                    if (bestCombination == null || currentCombination.size() < bestCombination.size())
+                        bestCombination = currentCombination;
+                }
+            }
+            coinsUsed.add(bestCombination);
+        }
+
+        if (coinsUsed.get(grandTotal) == null)
+            throw new IllegalArgumentException("The total " + grandTotal + " cannot be represented in the given currency.");
+
+        return coinsUsed.get(grandTotal);
+    }
+}
+```
+
+The **Dynamic Programming (DP)** approach is an efficient way to solve the problem of making change for a given total using a list of available coin denominations.
+It minimizes the number of coins needed by breaking down the problem into smaller subproblems and solving them progressively.
+
+## Explanation
+
+### Initialize Coins Usage Tracker
+
+- If the `grandTotal` is negative, an exception is thrown immediately.
+- We create a list `coinsUsed`, where each index `i` stores the most efficient combination of coins that sum up to the value `i`.
+- The list is initialized with an empty list at index `0`, as no coins are needed to achieve a total of zero.
+
+### Iterative Dynamic Programming
+
+- For each value `i` from 1 to `grandTotal`, we explore all available coin denominations to find the best combination that can achieve the total `i`.
+- For each coin, we check if it can be part of the solution (i.e., if `coin <= i` and `coinsUsed[i - coin]` is a valid combination).
+- If so, we generate a new combination by adding the current coin to the solution for `i - coin`. We then compare the size of this new combination with the existing best combination and keep the one with fewer coins.
+
+### Result
+
+- After processing all values up to `grandTotal`, the combination at `coinsUsed[grandTotal]` will represent the most efficient solution.
+- If no valid combination exists for `grandTotal`, an exception is thrown.
+
+## Time and Space Complexity
+
+The time complexity of this approach is **O(n * m)**, where `n` is the `grandTotal` and `m` is the number of available coin denominations. This is because we iterate over all coin denominations for each amount up to `grandTotal`.
+
+The space complexity is **O(n)** due to the list `coinsUsed`, which stores the most efficient coin combination for each total up to `grandTotal`.

exercises/practice/change/.approaches/dynamic-programming/snippet.txt

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+class ChangeCalculator {
+    private final List<Integer> currencyCoins;
+
+    ChangeCalculator(List<Integer> currencyCoins) {
+        this.currencyCoins = currencyCoins;
+    }
+    // computeMostEfficientChange method
+}

exercises/practice/change/.approaches/introduction.md

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+# Introduction  
+
+There is an idiomatic approach to solving "Change."  
+You can use [dynamic programming][dynamic-programming] to calculate the minimum number of coins required for a given total.
+
+## General guidance
+
+The key to solving "Change" is understanding that not all totals can be reached with the available coin denominations.
+The solution needs to figure out which totals can be achieved and how to combine the coins optimally.
+
+## Approach: Dynamic Programming
+
+```java
+import java.util.List;
+import java.util.ArrayList;
+
+class ChangeCalculator {
+    private final List<Integer> currencyCoins;
+
+    ChangeCalculator(List<Integer> currencyCoins) {
+        this.currencyCoins = currencyCoins;
+    }
+
+    List<Integer> computeMostEfficientChange(int grandTotal) {
+        if (grandTotal < 0) 
+            throw new IllegalArgumentException("Negative totals are not allowed.");
+
+        List<List<Integer>> coinsUsed = new ArrayList<>(grandTotal + 1);
+        coinsUsed.add(new ArrayList<Integer>());
+
+        for (int i = 1; i <= grandTotal; i++) {
+            List<Integer> bestCombination = null;
+            for (int coin: currencyCoins) {
+                if (coin <= i && coinsUsed.get(i - coin) != null) {
+                    List<Integer> currentCombination = new ArrayList<>(coinsUsed.get(i - coin));
+                    currentCombination.add(0, coin);
+                    if (bestCombination == null || currentCombination.size() < bestCombination.size())
+                        bestCombination = currentCombination;
+                }
+            }
+            coinsUsed.add(bestCombination);
+        }
+
+        if (coinsUsed.get(grandTotal) == null)
+            throw new IllegalArgumentException("The total " + grandTotal + " cannot be represented in the given currency.");
+
+        return coinsUsed.get(grandTotal);
+    }
+}
+```
+
+For a detailed look at the code and logic, see the full explanation in the [Dynamic Programming Approach][approach-dynamic-programming].
+
+[approach-dynamic-programming]: https://exercism.org/tracks/java/exercises/change/approaches/dynamic-programming
+[dynamic-programming]: https://en.wikipedia.org/wiki/Dynamic_programming