diff --git a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README.md b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README.md
index 56c0d505291b9..f3b4979d3493b 100644
--- a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README.md	
+++ b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README.md	
@@ -150,25 +150,254 @@ tags:
 #### Python3
 
 ```python
-
+class Solution:
+    def maxProfit(
+        self,
+        n: int,
+        present: List[int],
+        future: List[int],
+        hierarchy: List[List[int]],
+        budget: int,
+    ) -> int:
+        max = lambda a, b: a if a > b else b
+        g = [[] for _ in range(n + 1)]
+        for u, v in hierarchy:
+            g[u].append(v)
+
+        def dfs(u: int):
+            nxt = [[0, 0] for _ in range(budget + 1)]
+            for v in g[u]:
+                fv = dfs(v)
+                for j in range(budget, -1, -1):
+                    for jv in range(j + 1):
+                        for pre in (0, 1):
+                            val = nxt[j - jv][pre] + fv[jv][pre]
+                            if val > nxt[j][pre]:
+                                nxt[j][pre] = val
+
+            f = [[0, 0] for _ in range(budget + 1)]
+            price = future[u - 1]
+
+            for j in range(budget + 1):
+                for pre in (0, 1):
+                    cost = present[u - 1] // (pre + 1)
+                    if j >= cost:
+                        f[j][pre] = max(nxt[j][0], nxt[j - cost][1] + (price - cost))
+                    else:
+                        f[j][pre] = nxt[j][0]
+
+            return f
+
+        return dfs(1)[budget][0]
 ```
 
 #### Java
 
 ```java
-
+class Solution {
+    private List<Integer>[] g;
+    private int[] present;
+    private int[] future;
+    private int budget;
+
+    public int maxProfit(int n, int[] present, int[] future, int[][] hierarchy, int budget) {
+        this.present = present;
+        this.future = future;
+        this.budget = budget;
+
+        g = new ArrayList[n + 1];
+        Arrays.setAll(g, k -> new ArrayList<>());
+
+        for (int[] e : hierarchy) {
+            g[e[0]].add(e[1]);
+        }
+
+        return dfs(1)[budget][0];
+    }
+
+    private int[][] dfs(int u) {
+        int[][] nxt = new int[budget + 1][2];
+
+        for (int v : g[u]) {
+            int[][] fv = dfs(v);
+            for (int j = budget; j >= 0; j--) {
+                for (int jv = 0; jv <= j; jv++) {
+                    for (int pre = 0; pre < 2; pre++) {
+                        int val = nxt[j - jv][pre] + fv[jv][pre];
+                        if (val > nxt[j][pre]) {
+                            nxt[j][pre] = val;
+                        }
+                    }
+                }
+            }
+        }
+
+        int[][] f = new int[budget + 1][2];
+        int price = future[u - 1];
+
+        for (int j = 0; j <= budget; j++) {
+            for (int pre = 0; pre < 2; pre++) {
+                int cost = present[u - 1] / (pre + 1);
+                if (j >= cost) {
+                    f[j][pre] = Math.max(nxt[j][0], nxt[j - cost][1] + (price - cost));
+                } else {
+                    f[j][pre] = nxt[j][0];
+                }
+            }
+        }
+
+        return f;
+    }
+}
 ```
 
 #### C++
 
 ```cpp
-
+class Solution {
+public:
+    int maxProfit(int n, vector<int>& present, vector<int>& future, vector<vector<int>>& hierarchy, int budget) {
+        vector<vector<int>> g(n + 1);
+        for (auto& e : hierarchy) {
+            g[e[0]].push_back(e[1]);
+        }
+
+        auto dfs = [&](const auto& dfs, int u) -> vector<array<int, 2>> {
+            vector<array<int, 2>> nxt(budget + 1);
+            for (int j = 0; j <= budget; j++) nxt[j] = {0, 0};
+
+            for (int v : g[u]) {
+                auto fv = dfs(dfs, v);
+                for (int j = budget; j >= 0; j--) {
+                    for (int jv = 0; jv <= j; jv++) {
+                        for (int pre = 0; pre < 2; pre++) {
+                            int val = nxt[j - jv][pre] + fv[jv][pre];
+                            if (val > nxt[j][pre]) {
+                                nxt[j][pre] = val;
+                            }
+                        }
+                    }
+                }
+            }
+
+            vector<array<int, 2>> f(budget + 1);
+            int price = future[u - 1];
+
+            for (int j = 0; j <= budget; j++) {
+                for (int pre = 0; pre < 2; pre++) {
+                    int cost = present[u - 1] / (pre + 1);
+                    if (j >= cost) {
+                        f[j][pre] = max(nxt[j][0], nxt[j - cost][1] + (price - cost));
+                    } else {
+                        f[j][pre] = nxt[j][0];
+                    }
+                }
+            }
+
+            return f;
+        };
+
+        return dfs(dfs, 1)[budget][0];
+    }
+};
 ```
 
 #### Go
 
 ```go
+func maxProfit(n int, present []int, future []int, hierarchy [][]int, budget int) int {
+	g := make([][]int, n+1)
+	for _, e := range hierarchy {
+		u, v := e[0], e[1]
+		g[u] = append(g[u], v)
+	}
+
+	var dfs func(u int) [][2]int
+	dfs = func(u int) [][2]int {
+		nxt := make([][2]int, budget+1)
+
+		for _, v := range g[u] {
+			fv := dfs(v)
+			for j := budget; j >= 0; j-- {
+				for jv := 0; jv <= j; jv++ {
+					for pre := 0; pre < 2; pre++ {
+						nxt[j][pre] = max(nxt[j][pre], nxt[j-jv][pre]+fv[jv][pre])
+					}
+				}
+			}
+		}
+
+		f := make([][2]int, budget+1)
+		price := future[u-1]
+
+		for j := 0; j <= budget; j++ {
+			for pre := 0; pre < 2; pre++ {
+				cost := present[u-1] / (pre + 1)
+				if j >= cost {
+					buyProfit := nxt[j-cost][1] + (price - cost)
+					f[j][pre] = max(nxt[j][0], buyProfit)
+				} else {
+					f[j][pre] = nxt[j][0]
+				}
+			}
+		}
+		return f
+	}
+
+	return dfs(1)[budget][0]
+}
+```
 
+#### TypeScript
+
+```ts
+function maxProfit(
+    n: number,
+    present: number[],
+    future: number[],
+    hierarchy: number[][],
+    budget: number,
+): number {
+    const g: number[][] = Array.from({ length: n + 1 }, () => []);
+
+    for (const [u, v] of hierarchy) {
+        g[u].push(v);
+    }
+
+    const dfs = (u: number): number[][] => {
+        const nxt: number[][] = Array.from({ length: budget + 1 }, () => [0, 0]);
+
+        for (const v of g[u]) {
+            const fv = dfs(v);
+            for (let j = budget; j >= 0; j--) {
+                for (let jv = 0; jv <= j; jv++) {
+                    for (let pre = 0; pre < 2; pre++) {
+                        nxt[j][pre] = Math.max(nxt[j][pre], nxt[j - jv][pre] + fv[jv][pre]);
+                    }
+                }
+            }
+        }
+
+        const f: number[][] = Array.from({ length: budget + 1 }, () => [0, 0]);
+        const price = future[u - 1];
+
+        for (let j = 0; j <= budget; j++) {
+            for (let pre = 0; pre < 2; pre++) {
+                const cost = Math.floor(present[u - 1] / (pre + 1));
+                if (j >= cost) {
+                    const profitIfBuy = nxt[j - cost][1] + (price - cost);
+                    f[j][pre] = Math.max(nxt[j][0], profitIfBuy);
+                } else {
+                    f[j][pre] = nxt[j][0];
+                }
+            }
+        }
+
+        return f;
+    };
+
+    return dfs(1)[budget][0];
+}
 ```
 
 <!-- tabs:end -->
diff --git a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README_EN.md b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README_EN.md
index 2f6564a3fcc00..4c2c2f2eae378 100644
--- a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README_EN.md	
+++ b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/README_EN.md	
@@ -147,25 +147,254 @@ tags:
 #### Python3
 
 ```python
-
+class Solution:
+    def maxProfit(
+        self,
+        n: int,
+        present: List[int],
+        future: List[int],
+        hierarchy: List[List[int]],
+        budget: int,
+    ) -> int:
+        max = lambda a, b: a if a > b else b
+        g = [[] for _ in range(n + 1)]
+        for u, v in hierarchy:
+            g[u].append(v)
+
+        def dfs(u: int):
+            nxt = [[0, 0] for _ in range(budget + 1)]
+            for v in g[u]:
+                fv = dfs(v)
+                for j in range(budget, -1, -1):
+                    for jv in range(j + 1):
+                        for pre in (0, 1):
+                            val = nxt[j - jv][pre] + fv[jv][pre]
+                            if val > nxt[j][pre]:
+                                nxt[j][pre] = val
+
+            f = [[0, 0] for _ in range(budget + 1)]
+            price = future[u - 1]
+
+            for j in range(budget + 1):
+                for pre in (0, 1):
+                    cost = present[u - 1] // (pre + 1)
+                    if j >= cost:
+                        f[j][pre] = max(nxt[j][0], nxt[j - cost][1] + (price - cost))
+                    else:
+                        f[j][pre] = nxt[j][0]
+
+            return f
+
+        return dfs(1)[budget][0]
 ```
 
 #### Java
 
 ```java
-
+class Solution {
+    private List<Integer>[] g;
+    private int[] present;
+    private int[] future;
+    private int budget;
+
+    public int maxProfit(int n, int[] present, int[] future, int[][] hierarchy, int budget) {
+        this.present = present;
+        this.future = future;
+        this.budget = budget;
+
+        g = new ArrayList[n + 1];
+        Arrays.setAll(g, k -> new ArrayList<>());
+
+        for (int[] e : hierarchy) {
+            g[e[0]].add(e[1]);
+        }
+
+        return dfs(1)[budget][0];
+    }
+
+    private int[][] dfs(int u) {
+        int[][] nxt = new int[budget + 1][2];
+
+        for (int v : g[u]) {
+            int[][] fv = dfs(v);
+            for (int j = budget; j >= 0; j--) {
+                for (int jv = 0; jv <= j; jv++) {
+                    for (int pre = 0; pre < 2; pre++) {
+                        int val = nxt[j - jv][pre] + fv[jv][pre];
+                        if (val > nxt[j][pre]) {
+                            nxt[j][pre] = val;
+                        }
+                    }
+                }
+            }
+        }
+
+        int[][] f = new int[budget + 1][2];
+        int price = future[u - 1];
+
+        for (int j = 0; j <= budget; j++) {
+            for (int pre = 0; pre < 2; pre++) {
+                int cost = present[u - 1] / (pre + 1);
+                if (j >= cost) {
+                    f[j][pre] = Math.max(nxt[j][0], nxt[j - cost][1] + (price - cost));
+                } else {
+                    f[j][pre] = nxt[j][0];
+                }
+            }
+        }
+
+        return f;
+    }
+}
 ```
 
 #### C++
 
 ```cpp
-
+class Solution {
+public:
+    int maxProfit(int n, vector<int>& present, vector<int>& future, vector<vector<int>>& hierarchy, int budget) {
+        vector<vector<int>> g(n + 1);
+        for (auto& e : hierarchy) {
+            g[e[0]].push_back(e[1]);
+        }
+
+        auto dfs = [&](const auto& dfs, int u) -> vector<array<int, 2>> {
+            vector<array<int, 2>> nxt(budget + 1);
+            for (int j = 0; j <= budget; j++) nxt[j] = {0, 0};
+
+            for (int v : g[u]) {
+                auto fv = dfs(dfs, v);
+                for (int j = budget; j >= 0; j--) {
+                    for (int jv = 0; jv <= j; jv++) {
+                        for (int pre = 0; pre < 2; pre++) {
+                            int val = nxt[j - jv][pre] + fv[jv][pre];
+                            if (val > nxt[j][pre]) {
+                                nxt[j][pre] = val;
+                            }
+                        }
+                    }
+                }
+            }
+
+            vector<array<int, 2>> f(budget + 1);
+            int price = future[u - 1];
+
+            for (int j = 0; j <= budget; j++) {
+                for (int pre = 0; pre < 2; pre++) {
+                    int cost = present[u - 1] / (pre + 1);
+                    if (j >= cost) {
+                        f[j][pre] = max(nxt[j][0], nxt[j - cost][1] + (price - cost));
+                    } else {
+                        f[j][pre] = nxt[j][0];
+                    }
+                }
+            }
+
+            return f;
+        };
+
+        return dfs(dfs, 1)[budget][0];
+    }
+};
 ```
 
 #### Go
 
 ```go
+func maxProfit(n int, present []int, future []int, hierarchy [][]int, budget int) int {
+	g := make([][]int, n+1)
+	for _, e := range hierarchy {
+		u, v := e[0], e[1]
+		g[u] = append(g[u], v)
+	}
+
+	var dfs func(u int) [][2]int
+	dfs = func(u int) [][2]int {
+		nxt := make([][2]int, budget+1)
+
+		for _, v := range g[u] {
+			fv := dfs(v)
+			for j := budget; j >= 0; j-- {
+				for jv := 0; jv <= j; jv++ {
+					for pre := 0; pre < 2; pre++ {
+						nxt[j][pre] = max(nxt[j][pre], nxt[j-jv][pre]+fv[jv][pre])
+					}
+				}
+			}
+		}
+
+		f := make([][2]int, budget+1)
+		price := future[u-1]
+
+		for j := 0; j <= budget; j++ {
+			for pre := 0; pre < 2; pre++ {
+				cost := present[u-1] / (pre + 1)
+				if j >= cost {
+					buyProfit := nxt[j-cost][1] + (price - cost)
+					f[j][pre] = max(nxt[j][0], buyProfit)
+				} else {
+					f[j][pre] = nxt[j][0]
+				}
+			}
+		}
+		return f
+	}
+
+	return dfs(1)[budget][0]
+}
+```
 
+#### TypeScript
+
+```ts
+function maxProfit(
+    n: number,
+    present: number[],
+    future: number[],
+    hierarchy: number[][],
+    budget: number,
+): number {
+    const g: number[][] = Array.from({ length: n + 1 }, () => []);
+
+    for (const [u, v] of hierarchy) {
+        g[u].push(v);
+    }
+
+    const dfs = (u: number): number[][] => {
+        const nxt: number[][] = Array.from({ length: budget + 1 }, () => [0, 0]);
+
+        for (const v of g[u]) {
+            const fv = dfs(v);
+            for (let j = budget; j >= 0; j--) {
+                for (let jv = 0; jv <= j; jv++) {
+                    for (let pre = 0; pre < 2; pre++) {
+                        nxt[j][pre] = Math.max(nxt[j][pre], nxt[j - jv][pre] + fv[jv][pre]);
+                    }
+                }
+            }
+        }
+
+        const f: number[][] = Array.from({ length: budget + 1 }, () => [0, 0]);
+        const price = future[u - 1];
+
+        for (let j = 0; j <= budget; j++) {
+            for (let pre = 0; pre < 2; pre++) {
+                const cost = Math.floor(present[u - 1] / (pre + 1));
+                if (j >= cost) {
+                    const profitIfBuy = nxt[j - cost][1] + (price - cost);
+                    f[j][pre] = Math.max(nxt[j][0], profitIfBuy);
+                } else {
+                    f[j][pre] = nxt[j][0];
+                }
+            }
+        }
+
+        return f;
+    };
+
+    return dfs(1)[budget][0];
+}
 ```
 
 <!-- tabs:end -->
diff --git a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.cpp b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.cpp
new file mode 100644
index 0000000000000..27fb163d40de8
--- /dev/null
+++ b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.cpp	
@@ -0,0 +1,46 @@
+class Solution {
+public:
+    int maxProfit(int n, vector<int>& present, vector<int>& future, vector<vector<int>>& hierarchy, int budget) {
+        vector<vector<int>> g(n + 1);
+        for (auto& e : hierarchy) {
+            g[e[0]].push_back(e[1]);
+        }
+
+        auto dfs = [&](const auto& dfs, int u) -> vector<array<int, 2>> {
+            vector<array<int, 2>> nxt(budget + 1);
+            for (int j = 0; j <= budget; j++) nxt[j] = {0, 0};
+
+            for (int v : g[u]) {
+                auto fv = dfs(dfs, v);
+                for (int j = budget; j >= 0; j--) {
+                    for (int jv = 0; jv <= j; jv++) {
+                        for (int pre = 0; pre < 2; pre++) {
+                            int val = nxt[j - jv][pre] + fv[jv][pre];
+                            if (val > nxt[j][pre]) {
+                                nxt[j][pre] = val;
+                            }
+                        }
+                    }
+                }
+            }
+
+            vector<array<int, 2>> f(budget + 1);
+            int price = future[u - 1];
+
+            for (int j = 0; j <= budget; j++) {
+                for (int pre = 0; pre < 2; pre++) {
+                    int cost = present[u - 1] / (pre + 1);
+                    if (j >= cost) {
+                        f[j][pre] = max(nxt[j][0], nxt[j - cost][1] + (price - cost));
+                    } else {
+                        f[j][pre] = nxt[j][0];
+                    }
+                }
+            }
+
+            return f;
+        };
+
+        return dfs(dfs, 1)[budget][0];
+    }
+};
diff --git a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.go b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.go
new file mode 100644
index 0000000000000..400325111a657
--- /dev/null
+++ b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.go	
@@ -0,0 +1,41 @@
+func maxProfit(n int, present []int, future []int, hierarchy [][]int, budget int) int {
+	g := make([][]int, n+1)
+	for _, e := range hierarchy {
+		u, v := e[0], e[1]
+		g[u] = append(g[u], v)
+	}
+
+	var dfs func(u int) [][2]int
+	dfs = func(u int) [][2]int {
+		nxt := make([][2]int, budget+1)
+
+		for _, v := range g[u] {
+			fv := dfs(v)
+			for j := budget; j >= 0; j-- {
+				for jv := 0; jv <= j; jv++ {
+					for pre := 0; pre < 2; pre++ {
+						nxt[j][pre] = max(nxt[j][pre], nxt[j-jv][pre]+fv[jv][pre])
+					}
+				}
+			}
+		}
+
+		f := make([][2]int, budget+1)
+		price := future[u-1]
+
+		for j := 0; j <= budget; j++ {
+			for pre := 0; pre < 2; pre++ {
+				cost := present[u-1] / (pre + 1)
+				if j >= cost {
+					buyProfit := nxt[j-cost][1] + (price - cost)
+					f[j][pre] = max(nxt[j][0], buyProfit)
+				} else {
+					f[j][pre] = nxt[j][0]
+				}
+			}
+		}
+		return f
+	}
+
+	return dfs(1)[budget][0]
+}
diff --git a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.java b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.java
new file mode 100644
index 0000000000000..9eb3c46dd754f
--- /dev/null
+++ b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.java	
@@ -0,0 +1,55 @@
+class Solution {
+    private List<Integer>[] g;
+    private int[] present;
+    private int[] future;
+    private int budget;
+
+    public int maxProfit(int n, int[] present, int[] future, int[][] hierarchy, int budget) {
+        this.present = present;
+        this.future = future;
+        this.budget = budget;
+
+        g = new ArrayList[n + 1];
+        Arrays.setAll(g, k -> new ArrayList<>());
+
+        for (int[] e : hierarchy) {
+            g[e[0]].add(e[1]);
+        }
+
+        return dfs(1)[budget][0];
+    }
+
+    private int[][] dfs(int u) {
+        int[][] nxt = new int[budget + 1][2];
+
+        for (int v : g[u]) {
+            int[][] fv = dfs(v);
+            for (int j = budget; j >= 0; j--) {
+                for (int jv = 0; jv <= j; jv++) {
+                    for (int pre = 0; pre < 2; pre++) {
+                        int val = nxt[j - jv][pre] + fv[jv][pre];
+                        if (val > nxt[j][pre]) {
+                            nxt[j][pre] = val;
+                        }
+                    }
+                }
+            }
+        }
+
+        int[][] f = new int[budget + 1][2];
+        int price = future[u - 1];
+
+        for (int j = 0; j <= budget; j++) {
+            for (int pre = 0; pre < 2; pre++) {
+                int cost = present[u - 1] / (pre + 1);
+                if (j >= cost) {
+                    f[j][pre] = Math.max(nxt[j][0], nxt[j - cost][1] + (price - cost));
+                } else {
+                    f[j][pre] = nxt[j][0];
+                }
+            }
+        }
+
+        return f;
+    }
+}
diff --git a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.py b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.py
new file mode 100644
index 0000000000000..e9b50610ec62f
--- /dev/null
+++ b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.py	
@@ -0,0 +1,39 @@
+class Solution:
+    def maxProfit(
+        self,
+        n: int,
+        present: List[int],
+        future: List[int],
+        hierarchy: List[List[int]],
+        budget: int,
+    ) -> int:
+        max = lambda a, b: a if a > b else b
+        g = [[] for _ in range(n + 1)]
+        for u, v in hierarchy:
+            g[u].append(v)
+
+        def dfs(u: int):
+            nxt = [[0, 0] for _ in range(budget + 1)]
+            for v in g[u]:
+                fv = dfs(v)
+                for j in range(budget, -1, -1):
+                    for jv in range(j + 1):
+                        for pre in (0, 1):
+                            val = nxt[j - jv][pre] + fv[jv][pre]
+                            if val > nxt[j][pre]:
+                                nxt[j][pre] = val
+
+            f = [[0, 0] for _ in range(budget + 1)]
+            price = future[u - 1]
+
+            for j in range(budget + 1):
+                for pre in (0, 1):
+                    cost = present[u - 1] // (pre + 1)
+                    if j >= cost:
+                        f[j][pre] = max(nxt[j][0], nxt[j - cost][1] + (price - cost))
+                    else:
+                        f[j][pre] = nxt[j][0]
+
+            return f
+
+        return dfs(1)[budget][0]
diff --git a/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.ts b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.ts
new file mode 100644
index 0000000000000..e398afcea238d
--- /dev/null
+++ b/solution/3500-3599/3562.Maximum Profit from Trading Stocks with Discounts/Solution.ts	
@@ -0,0 +1,47 @@
+function maxProfit(
+    n: number,
+    present: number[],
+    future: number[],
+    hierarchy: number[][],
+    budget: number,
+): number {
+    const g: number[][] = Array.from({ length: n + 1 }, () => []);
+
+    for (const [u, v] of hierarchy) {
+        g[u].push(v);
+    }
+
+    const dfs = (u: number): number[][] => {
+        const nxt: number[][] = Array.from({ length: budget + 1 }, () => [0, 0]);
+
+        for (const v of g[u]) {
+            const fv = dfs(v);
+            for (let j = budget; j >= 0; j--) {
+                for (let jv = 0; jv <= j; jv++) {
+                    for (let pre = 0; pre < 2; pre++) {
+                        nxt[j][pre] = Math.max(nxt[j][pre], nxt[j - jv][pre] + fv[jv][pre]);
+                    }
+                }
+            }
+        }
+
+        const f: number[][] = Array.from({ length: budget + 1 }, () => [0, 0]);
+        const price = future[u - 1];
+
+        for (let j = 0; j <= budget; j++) {
+            for (let pre = 0; pre < 2; pre++) {
+                const cost = Math.floor(present[u - 1] / (pre + 1));
+                if (j >= cost) {
+                    const profitIfBuy = nxt[j - cost][1] + (price - cost);
+                    f[j][pre] = Math.max(nxt[j][0], profitIfBuy);
+                } else {
+                    f[j][pre] = nxt[j][0];
+                }
+            }
+        }
+
+        return f;
+    };
+
+    return dfs(1)[budget][0];
+}