Given a fence with n posts and k colors, the task is to find out the number of ways of painting the fence so that not more than two consecutive posts have the same color.
Examples:
Input: n = 2, k = 4
Output: 16
Explanation: We have 4 colors and 2 posts.
Ways when both posts have same color: 4
Ways when both posts have diff color: 4(choices for 1st post) * 3(choices for 2nd post) = 12
Input: n = 3, k = 2
Output: 6
Explanation: The following image depicts the 6 possible ways of painting 3 posts with 2 colors:
Using Recursion - O(2^n) Time and O(n) Space
The idea is to define our solution in terms of two choices: painting the last post a different color from the previous one or painting the last two posts the same color. This gives us the recurrence relation:
countWays(n) = countWays(n-1)*(k-1) + countWays(n-2)*(k-1)
Case 1: Different Color for the Last Post
If we paint the last post a different color from the one before it, we have k-1 choices (all colors except the previous post’s color). This means the number of ways to paint the first n-1 posts is multiplied by k-1.
Case 2: Same Color for the Last Two Posts
If the last two posts are the same color, they must differ from the post before them (the third-last post). Thus, we have k-1 choices for the last two posts, and the number of ways to paint the first n-2 posts is given by countWays(n-2).
Consider the following image, in which c, c' and c'' are the respective colors of posts i, i-1, and i-2.
C++
// C++ program for Painting Fence Algorithm
// using recursion
#include <bits/stdc++.h>
using namespace std;
// Returns count of ways to color k posts
int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k*k;
// Ways in which last fence
// is of different color.
int cnt1 = countWays(n-1,k)*(k-1);
// Ways in which last 2 fences
// are of same color.
int cnt2 = countWays(n-2,k)*(k-1);
return cnt1 + cnt2;
}
int main() {
int n = 3, k = 2;
cout << countWays(n, k) << endl;
return 0;
}
Java
// Java program for Painting Fence Algorithm
// using recursion
class GfG {
// Returns count of ways to color k posts
static int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
// Ways in which last fence
// is of different color.
int cnt1 = countWays(n - 1, k) * (k - 1);
// Ways in which last 2 fences
// are of same color.
int cnt2 = countWays(n - 2, k) * (k - 1);
return cnt1 + cnt2;
}
public static void main(String[] args) {
int n = 3, k = 2;
System.out.println(countWays(n, k));
}
}
Python
# Python program for Painting Fence Algorithm
# using recursion
# Returns count of ways to color k posts
def countWays(n, k):
# base cases
if n == 1:
return k
if n == 2:
return k * k
# Ways in which last fence
# is of different color.
cnt1 = countWays(n - 1, k) * (k - 1)
# Ways in which last 2 fences
# are of same color.
cnt2 = countWays(n - 2, k) * (k - 1)
return cnt1 + cnt2
if __name__ == "__main__":
n = 3
k = 2
print(countWays(n, k))
C#
// C# program for Painting Fence
// using recursion
using System;
class GfG {
// Returns count of ways to color k posts
static int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
// Ways in which last fence
// is of different color.
int cnt1 = countWays(n - 1, k) * (k - 1);
// Ways in which last 2 fences
// are of same color.
int cnt2 = countWays(n - 2, k) * (k - 1);
return cnt1 + cnt2;
}
static void Main(string[] args) {
int n = 3, k = 2;
Console.WriteLine(countWays(n, k));
}
}
JavaScript
// JavaScript program for Painting
// Fence using recursion
// Returns count of ways to color k posts
function countWays(n, k) {
// base cases
if (n === 1) return k;
if (n === 2) return k * k;
// Ways in which last fence
// is of different color.
let cnt1 = countWays(n - 1, k) * (k - 1);
// Ways in which last 2 fences
// are of same color.
let cnt2 = countWays(n - 2, k) * (k - 1);
return cnt1 + cnt2;
}
let n = 3, k = 2;
console.log(countWays(n, k));
Using Top-Down DP (Memoization) – O(n) Time and O(n) Space
If we notice carefully, we can observe that the above recursive solution holds the following two properties of Dynamic Programming:
1. Optimal Substructure:
Number of ways to paint the nth fence, i.e., countWays(n), depends on the solutions of the subproblems countWays(n-1) , and countWays(n-2). By adding these optimal substructures, we can efficiently calculate the total number of ways to reach the nth fence.
2. Overlapping Subproblems:
While applying a recursive approach in this problem, we notice that certain subproblems are computed multiple times. For example, when calculating countWays(4), we recursively calculate countWays(3) and countWays(2) which in turn will recursively compute countWays(2) again. This redundancy leads to overlapping subproblems.
- There is only one parameter that changes in the recursive solution and it can go from 1 to n. So we create a 1D array of size n+1 for memoization.
- We initialize this array as -1 to indicate nothing is computed initially.
- Now we modify our recursive solution to first check if the value is -1, then only make recursive calls. This way, we avoid re-computations of the same subproblems.
C++
// C++ program for Painting Fence Algorithm
// using memoization
#include <bits/stdc++.h>
using namespace std;
int countWaysRecur(int n, int k, vector<int> &memo) {
// base cases
if (n == 1) return k;
if (n == 2) return k*k;
if (memo[n] != -1) return memo[n];
// Ways in which last fence
// is of different color.
int cnt1 = countWaysRecur(n-1, k, memo)*(k-1);
// Ways in which last 2 fences
// are of same color.
int cnt2 = countWaysRecur(n-2, k, memo)*(k-1);
return memo[n] = cnt1+cnt2;
}
// Returns count of ways to color k posts
int countWays(int n, int k) {
vector<int> memo(n + 1, -1);
return countWaysRecur(n, k, memo);
}
int main() {
int n = 3, k = 2;
cout << countWays(n, k) << endl;
return 0;
}
Java
// Java program for Painting Fence Algorithm
// using memoization
import java.util.Arrays;
class GfG {
static int countWaysRecur(int n, int k, int[] memo) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
if (memo[n] != -1) return memo[n];
// Ways in which last fence
// is of different color.
int cnt1 = countWaysRecur(n - 1, k, memo) * (k - 1);
// Ways in which last 2 fences
// are of same color.
int cnt2 = countWaysRecur(n - 2, k, memo) * (k - 1);
return memo[n] = cnt1 + cnt2;
}
// Returns count of ways to color k posts
static int countWays(int n, int k) {
int[] memo = new int[n + 1];
Arrays.fill(memo, -1);
return countWaysRecur(n, k, memo);
}
public static void main(String[] args) {
int n = 3, k = 2;
System.out.println(countWays(n, k));
}
}
Python
# Python program for Painting Fence Algorithm
# using memoization
def countWaysRecur(n, k, memo):
# base cases
if n == 1:
return k
if n == 2:
return k * k
if memo[n] != -1:
return memo[n]
# Ways in which last fence
# is of different color.
cnt1 = countWaysRecur(n - 1, k, memo) * (k - 1)
# Ways in which last 2 fences
# are of same color.
cnt2 = countWaysRecur(n - 2, k, memo) * (k - 1)
memo[n] = cnt1 + cnt2
return memo[n]
# Returns count of ways to color k posts
def countWays(n, k):
memo = [-1] * (n + 1)
return countWaysRecur(n, k, memo)
if __name__ == "__main__":
n = 3
k = 2
print(countWays(n, k))
C#
// C# program for Painting Fence Algorithm
// using memoization
using System;
class GfG {
static int countWaysRecur(int n, int k, int[] memo) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
if (memo[n] != -1) return memo[n];
// Ways in which last fence
// is of different color.
int cnt1 = countWaysRecur(n - 1, k, memo) * (k - 1);
// Ways in which last 2 fences
// are of same color.
int cnt2 = countWaysRecur(n - 2, k, memo) * (k - 1);
return memo[n] = cnt1 + cnt2;
}
// Returns count of ways to color k posts
static int countWays(int n, int k) {
int[] memo = new int[n + 1];
Array.Fill(memo, -1);
return countWaysRecur(n, k, memo);
}
static void Main(string[] args) {
int n = 3, k = 2;
Console.WriteLine(countWays(n, k));
}
}
JavaScript
// JavaScript program for Painting Fence Algorithm
// using memoization
function countWaysRecur(n, k, memo) {
// base cases
if (n === 1) return k;
if (n === 2) return k * k;
if (memo[n] !== -1) return memo[n];
// Ways in which last fence
// is of different color.
let cnt1 = countWaysRecur(n - 1, k, memo) * (k - 1);
// Ways in which last 2 fences
// are of same color.
let cnt2 = countWaysRecur(n - 2, k, memo) * (k - 1);
memo[n] = cnt1 + cnt2;
return memo[n];
}
// Returns count of ways to color k posts
function countWays(n, k) {
let memo = new Array(n + 1).fill(-1);
return countWaysRecur(n, k, memo);
}
let n = 3, k = 2;
console.log(countWays(n, k));
Using Bottom-Up DP (Tabulation) – O(n) Time and O(n) Space
The idea is to create a 1-D array, fill values for first two fences and compute the values from 3 to n using the previous two results. For i = 3 to n, do dp[i] = dp[i-1]*(k-1) + dp[i-2]*(k-1).
C++
// C++ program for Painting Fence Algorithm
// using tabulation
#include <bits/stdc++.h>
using namespace std;
// Returns count of ways to color k posts
int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k*k;
vector<int> dp(n+1);
// Fill value for 1 and 2 fences
dp[1] = k;
dp[2] = k*k;
for (int i=3; i<=n; i++) {
dp[i] = dp[i-1]*(k-1) + dp[i-2]*(k-1);
}
return dp[n];
}
int main() {
int n = 3, k = 2;
cout << countWays(n, k) << endl;
return 0;
}
Java
// Java program for Painting Fence Algorithm
// using tabulation
import java.util.Arrays;
class GfG {
// Returns count of ways to color k posts
static int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
int[] dp = new int[n + 1];
// Fill value for 1 and 2 fences
dp[1] = k;
dp[2] = k * k;
for (int i = 3; i <= n; i++) {
dp[i] = dp[i - 1] * (k - 1) + dp[i - 2] * (k - 1);
}
return dp[n];
}
public static void main(String[] args) {
int n = 3, k = 2;
System.out.println(countWays(n, k));
}
}
Python
# Python program for Painting Fence Algorithm
# using tabulation
def countWays(n, k):
# base cases
if n == 1:
return k
if n == 2:
return k * k
dp = [0] * (n + 1)
# Fill value for 1 and 2 fences
dp[1] = k
dp[2] = k * k
for i in range(3, n + 1):
dp[i] = dp[i - 1] * (k - 1) + dp[i - 2] * (k - 1)
return dp[n]
if __name__ == "__main__":
n = 3
k = 2
print(countWays(n, k))
C#
// C# program for Painting Fence Algorithm
// using tabulation
using System;
class GfG {
// Returns count of ways to color k posts
static int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
int[] dp = new int[n + 1];
// Fill value for 1 and 2 fences
dp[1] = k;
dp[2] = k * k;
for (int i = 3; i <= n; i++) {
dp[i] = dp[i - 1] * (k - 1) + dp[i - 2] * (k - 1);
}
return dp[n];
}
static void Main(string[] args) {
int n = 3, k = 2;
Console.WriteLine(countWays(n, k));
}
}
JavaScript
// JavaScript program for Painting Fence Algorithm
// using tabulation
function countWays(n, k) {
// base cases
if (n === 1) return k;
if (n === 2) return k * k;
let dp = new Array(n + 1).fill(0);
// Fill value for 1 and 2 fences
dp[1] = k;
dp[2] = k * k;
for (let i = 3; i <= n; i++) {
dp[i] = dp[i - 1] * (k - 1) + dp[i - 2] * (k - 1);
}
return dp[n];
}
let n = 3, k = 2;
console.log(countWays(n, k));
Using Space Optimized DP – O(n) Time and O(1) Space
The idea is to store only the previous two computed values. We can observe that for a given fence, only the result of last three fences are needed. So only store these three values and update them after each step.
C++
// C++ program for Painting Fence Algorithm
// using space optimised
#include <bits/stdc++.h>
using namespace std;
// Returns count of ways to color k posts
int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k*k;
// Fill value for 1 and 2 fences
int prev2 = k;
int prev1 = k*k;
for (int i = 3; i <= n; i++) {
int curr = prev1*(k-1) + prev2*(k-1);
// update the values
prev2 = prev1;
prev1 = curr;
}
return prev1;
}
int main() {
int n = 3, k = 2;
cout << countWays(n, k) << endl;
return 0;
}
Java
// Java program for Painting Fence Algorithm
// using space optimised
class GfG {
// Returns count of ways to color k posts
static int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
// Fill value for 1 and 2 fences
int prev2 = k;
int prev1 = k * k;
for (int i = 3; i <= n; i++) {
int curr = prev1 * (k - 1) + prev2 * (k - 1);
// update the values
prev2 = prev1;
prev1 = curr;
}
return prev1;
}
public static void main(String[] args) {
int n = 3, k = 2;
System.out.println(countWays(n, k));
}
}
Python
# Python program for Painting Fence Algorithm
# using space optimised
def countWays(n, k):
# base cases
if n == 1:
return k
if n == 2:
return k * k
# Fill value for 1 and 2 fences
prev2 = k
prev1 = k * k
for i in range(3, n + 1):
curr = prev1 * (k - 1) + prev2 * (k - 1)
# update the values
prev2 = prev1
prev1 = curr
return prev1
if __name__ == "__main__":
n = 3
k = 2
print(countWays(n, k))
C#
// C# program for Painting Fence Algorithm
// using space optimised
using System;
class GfG {
// Returns count of ways to color k posts
static int countWays(int n, int k) {
// base cases
if (n == 1) return k;
if (n == 2) return k * k;
// Fill value for 1 and 2 fences
int prev2 = k;
int prev1 = k * k;
for (int i = 3; i <= n; i++) {
int curr = prev1 * (k - 1) + prev2 * (k - 1);
// update the values
prev2 = prev1;
prev1 = curr;
}
return prev1;
}
static void Main(string[] args) {
int n = 3, k = 2;
Console.WriteLine(countWays(n, k));
}
}
JavaScript
// JavaScript program for Painting Fence Algorithm
// using space optimised
function countWays(n, k) {
// base cases
if (n === 1) return k;
if (n === 2) return k * k;
// Fill value for 1 and 2 fences
let prev2 = k;
let prev1 = k * k;
for (let i = 3; i <= n; i++) {
let curr = prev1 * (k - 1) + prev2 * (k - 1);
// update the values
prev2 = prev1;
prev1 = curr;
}
return prev1;
}
let n = 3, k = 2;
console.log(countWays(n, k));
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Egg Dropping Puzzle | DP-11You are given n identical eggs and you have access to a k-floored building from 1 to k.There exists a floor f where 0 <= f <= k such that any egg dropped from a floor higher than f will break, and any egg dropped from or below floor f will not break. There are a few rules given below:An egg th
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Word BreakGiven a string s and y a dictionary of n words dictionary, check if s can be segmented into a sequence of valid words from the dictionary, separated by spaces.Examples:Input: s = "ilike", dictionary[] = ["i", "like", "gfg"]Output: trueExplanation: The string can be segmented as "i like".Input: s = "
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Vertex Cover Problem (Dynamic Programming Solution for Tree)A vertex cover of an undirected graph is a subset of its vertices such that for every edge (u, v) of the graph, either âuâ or âvâ is in vertex cover. Although the name is Vertex Cover, the set covers all edges of the given graph. The problem to find minimum size vertex cover of a graph is NP complet
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Tile Stacking ProblemGiven integers n (the height of the tower), m (the maximum size of tiles available), and k (the maximum number of times each tile size can be used), the task is to calculate the number of distinct stable towers of height n that can be built. Note:A stable tower consists of exactly n tiles, each stac
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Box Stacking ProblemGiven three arrays height[], width[], and length[] of size n, where height[i], width[i], and length[i] represent the dimensions of a box. The task is to create a stack of boxes that is as tall as possible, but we can only stack a box on top of another box if the dimensions of the 2-D base of the low
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Partition a Set into Two Subsets of Equal SumGiven an array arr[], the task is to check if it can be partitioned into two parts such that the sum of elements in both parts is the same.Note: Each element is present in either the first subset or the second subset, but not in both.Examples: Input: arr[] = [1, 5, 11, 5]Output: true Explanation: Th
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Travelling Salesman Problem using Dynamic ProgrammingGiven a 2d matrix cost[][] of size n where cost[i][j] denotes the cost of moving from city i to city j. The task is to complete a tour from city 0 (0-based index) to all other cities such that we visit each city exactly once and then at the end come back to city 0 at minimum cost.Note the difference
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Longest Palindromic Subsequence (LPS)Given a string s, find the length of the Longest Palindromic Subsequence in it. Note: The Longest Palindromic Subsequence (LPS) is the maximum-length subsequence of a given string that is also a Palindrome. Longest Palindromic SubsequenceExamples:Input: s = "bbabcbcab"Output: 7Explanation: Subsequen
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Longest Common Increasing Subsequence (LCS + LIS)Given two arrays, a[] and b[], find the length of the longest common increasing subsequence(LCIS). LCIS refers to a subsequence that is present in both arrays and strictly increases.Prerequisites: LCS, LIS.Examples:Input: a[] = [3, 4, 9, 1], b[] = [5, 3, 8, 9, 10, 2, 1]Output: 2Explanation: The long
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Find all distinct subset (or subsequence) sums of an arrayGiven an array arr[] of size n, the task is to find a distinct sum that can be generated from the subsets of the given sets and return them in increasing order. It is given that the sum of array elements is small.Examples: Input: arr[] = [1, 2]Output: [0, 1, 2, 3]Explanation: Four distinct sums can
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Weighted Job SchedulingGiven a 2D array jobs[][] of order n*3, where each element jobs[i] defines start time, end time, and the profit associated with the job. The task is to find the maximum profit you can take such that there are no two jobs with overlapping time ranges.Note: If the job ends at time X, it is allowed to
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Count Derangements (Permutation such that no element appears in its original position)A Derangement is a permutation of n elements, such that no element appears in its original position. For example, a derangement of [0, 1, 2, 3] is [2, 3, 1, 0].Given a number n, find the total number of Derangements of a set of n elements.Examples : Input: n = 2Output: 1Explanation: For two balls [1
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Minimum insertions to form a palindromeGiven a string s, the task is to find the minimum number of characters to be inserted to convert it to a palindrome.Examples:Input: s = "geeks"Output: 3Explanation: "skgeegks" is a palindromic string, which requires 3 insertions.Input: s= "abcd"Output: 3Explanation: "abcdcba" is a palindromic string
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Ways to arrange Balls such that adjacent balls are of different typesThere are 'p' balls of type P, 'q' balls of type Q and 'r' balls of type R. Using the balls we want to create a straight line such that no two balls of the same type are adjacent.Examples : Input: p = 1, q = 1, r = 0Output: 2Explanation: There are only two arrangements PQ and QPInput: p = 1, q = 1,
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