1's and 2's complement of a Binary Number
Last Updated :
20 Mar, 2025
Given a binary number s represented as a string. The task is to return its 1's complement and 2's complement in form of an array as [onesComplement, twosComplement].
The 1's complement of a binary number is obtained by flipping all its bits. 0 becomes 1, and 1 becomes 0. Positive numbers remain unchanged whereas negative numbers are represented by taking the 1's complement of their positive counterparts.
For example, in 8-bit notation:
- +9 is represented as 00001001.
- -9 is represented as 11110110, which is the 1's complement of 00001001.
Examples:
Input: s = "0111"
Output: 1000
Explanation: Each bit is flipped, i.e. 0 becomes 1, and 1 becomes 0.
Input: s= "1100"
Output: 0011
Explanation: Each bit is flipped, i.e. 0 becomes 1, and 1 becomes 0.
The 2's complement of a binary number is obtained by finding the 1's complement (flipping all bits) and then adding 1 to the result. In 2's complement representation, the Most Significant Bit (MSB) represents the sign. A 0 indicates a positive number, while a 1 indicates a negative number. The remaining bits represent the magnitude.
Positive numbers are represented the same way as in 1's complement and sign-bit representation. Negative numbers are obtained by taking the 2's complement of their positive counterparts.
Examples:
Input: s = "0111"
Output: 1001
Explanation: Find 1's complement -> 1000, then add 1 -> 1000 + 1 = 1001
Input: "1100"
Output: 0100
Explanation: Find 1's complement -> 0011, then add 1 -> 0011 + 1 = 0100
The idea is to first compute the 1's complement by flipping each bit of the binary string. Then, to find the 2's complement, we add 1 to the 1's complement, starting from the rightmost bit. If all bits are flipped, an extra '1' is added at the beginning. This ensures correct representation in signed binary numbers.
Steps to implement the above idea:
- onesComplement() iterates through s and flip each '0' to '1' and '1' to '0'.
- twosComplement() calls onesComplement, then add 1 to the least significant bit.
- Traverse s from right to left, flipping '1' to '0' until the first '0', which is changed to '1'.
- If no '0' is found, prepend '1' to s to maintain the correct two’s complement representation.
C++
// C++ program to find 1's and 2's
// complement of a binary number
#include <bits/stdc++.h>
using namespace std;
// Function to find 1's complement
string onesComplement(string s) {
// Traverse each bit and flip it
for (char &c : s) {
if (c == '0') {
c = '1';
} else {
c = '0';
}
}
return s;
}
// Function to find 2's complement
string twosComplement(string s) {
// Get 1's complement of the binary number
s = onesComplement(s);
int n = s.size();
// Add 1 to the 1's complement
for (int i = n - 1; i >= 0; i--) {
// If we find '0', change it
// to '1' and stop
if (s[i] == '0') {
s[i] = '1';
break;
}
// If we find '1', change it
// to '0' and continue
else {
s[i] = '0';
}
}
// If all bits were flipped, we need
// to add an extra '1'
// at the beginning to maintain
// correct two's complement
if (s[0] == '0') {
s = '1' + s;
}
return s;
}
// Function to compute both 1's and 2's complements
vector<string> findComplement(string s) {
// Compute 1's complement
string ones = onesComplement(s);
// Compute 2's complement
string twos = twosComplement(s);
return {ones, twos};
}
// Driver code
int main() {
string s = "1001";
vector<string> result = findComplement(s);
cout << result[0] << " " << result[1] << endl;
return 0;
}
Java
// Java program to find 1's and 2's
// complement of a binary number
import java.util.*;
class GfG {
// Function to find 1's complement
static String onesComplement(String s) {
// Traverse each bit and flip it
StringBuilder result = new StringBuilder(s);
for (int i = 0; i < s.length(); i++) {
if (s.charAt(i) == '0') {
result.setCharAt(i, '1');
} else {
result.setCharAt(i, '0');
}
}
return result.toString();
}
// Function to find 2's complement
static String twosComplement(String s) {
// Get 1's complement of the binary number
s = onesComplement(s);
int n = s.length();
// Add 1 to the 1's complement
StringBuilder result = new StringBuilder(s);
for (int i = n - 1; i >= 0; i--) {
// If we find '0', change it
// to '1' and stop
if (s.charAt(i) == '0') {
result.setCharAt(i, '1');
break;
}
// If we find '1', change it
// to '0' and continue
else {
result.setCharAt(i, '0');
}
}
// If all bits were flipped, we need
// to add an extra '1'
// at the beginning to maintain
// correct two's complement
if (result.charAt(0) == '0') {
result.insert(0, '1');
}
return result.toString();
}
// Function to compute both 1's and 2's complements
static String[] findComplement(String s) {
// Compute 1's complement
String ones = onesComplement(s);
// Compute 2's complement
String twos = twosComplement(s);
return new String[]{ones, twos};
}
// Driver code
public static void main(String[] args) {
String s = "1001";
String[] result = findComplement(s);
System.out.println(result[0] + " " + result[1]);
}
}
Python
# Python program to find 1's and 2's
# complement of a binary number
# Function to find 1's complement
def onesComplement(s):
# Traverse each bit and flip it
result = ""
for c in s:
if c == '0':
result += '1'
else:
result += '0'
return result
# Function to find 2's complement
def twosComplement(s):
# Get 1's complement of the binary number
s = onesComplement(s)
n = len(s)
# Add 1 to the 1's complement
result = list(s)
for i in range(n - 1, -1, -1):
# If we find '0', change it
# to '1' and stop
if s[i] == '0':
result[i] = '1'
break
# If we find '1', change it
# to '0' and continue
else:
result[i] = '0'
# If all bits were flipped, we need
# to add an extra '1'
# at the beginning to maintain
# correct two's complement
if result[0] == '0':
result.insert(0, '1')
return "".join(result)
# Function to compute both 1's and 2's complements
def findComplement(s):
# Compute 1's complement
ones = onesComplement(s)
# Compute 2's complement
twos = twosComplement(s)
return [ones, twos]
# Driver code
if __name__ == "__main__":
s = "1001"
result = findComplement(s)
print(result[0], result[1])
C#
// C# program to find 1's and 2's
// complement of a binary number
using System;
class GfG {
// Function to find 1's complement
static string onesComplement(string s) {
// Traverse each bit and flip it
char[] result = s.ToCharArray();
for (int i = 0; i < s.Length; i++) {
if (s[i] == '0') {
result[i] = '1';
} else {
result[i] = '0';
}
}
return new string(result);
}
// Function to find 2's complement
static string twosComplement(string s) {
// Get 1's complement of the binary number
s = onesComplement(s);
int n = s.Length;
// Add 1 to the 1's complement
char[] result = s.ToCharArray();
for (int i = n - 1; i >= 0; i--) {
// If we find '0', change it
// to '1' and stop
if (s[i] == '0') {
result[i] = '1';
break;
}
// If we find '1', change it
// to '0' and continue
else {
result[i] = '0';
}
}
// If all bits were flipped, we need
// to add an extra '1'
// at the beginning to maintain
// correct two's complement
if (result[0] == '0') {
return "1" + new string(result);
}
return new string(result);
}
// Function to compute both 1's and 2's complements
static string[] findComplement(string s) {
// Compute 1's complement
string ones = onesComplement(s);
// Compute 2's complement
string twos = twosComplement(s);
return new string[]{ones, twos};
}
// Driver code
public static void Main() {
string s = "1001";
string[] result = findComplement(s);
Console.WriteLine(result[0] + " " + result[1]);
}
}
JavaScript
// JavaScript program to find 1's and 2's
// complement of a binary number
// Function to find 1's complement
function onesComplement(s) {
// Traverse each bit and flip it
let result = "";
for (let i = 0; i < s.length; i++) {
if (s[i] === '0') {
result += '1';
} else {
result += '0';
}
}
return result;
}
// Function to find 2's complement
function twosComplement(s) {
// Get 1's complement of the binary number
s = onesComplement(s);
let n = s.length;
let result = s.split("");
// Add 1 to the 1's complement
for (let i = n - 1; i >= 0; i--) {
// If we find '0', change it
// to '1' and stop
if (s[i] === '0') {
result[i] = '1';
break;
}
// If we find '1', change it
// to '0' and continue
else {
result[i] = '0';
}
}
// If all bits were flipped, we need
// to add an extra '1'
// at the beginning to maintain
// correct two's complement
if (result[0] === '0') {
result.unshift('1');
}
return result.join("");
}
// Function to compute both 1's and 2's complements
function findComplement(s) {
// Compute 1's complement
let ones = onesComplement(s);
// Compute 2's complement
let twos = twosComplement(s);
return [ones, twos];
}
// Driver code
let s = "1001";
let result = findComplement(s);
console.log(result[0], result[1]);
Time Complexity: O(n), as each bit is processed once.
Space Complexity: O(1), as no extra space is used.
Similar Reads
Basics & Prerequisites
Data Structures
Array Data StructureIn this article, we introduce array, implementation in different popular languages, its basic operations and commonly seen problems / interview questions. An array stores items (in case of C/C++ and Java Primitive Arrays) or their references (in case of Python, JS, Java Non-Primitive) at contiguous
3 min read
String in Data StructureA string is a sequence of characters. The following facts make string an interesting data structure.Small set of elements. Unlike normal array, strings typically have smaller set of items. For example, lowercase English alphabet has only 26 characters. ASCII has only 256 characters.Strings are immut
2 min read
Hashing in Data StructureHashing is a technique used in data structures that efficiently stores and retrieves data in a way that allows for quick access. Hashing involves mapping data to a specific index in a hash table (an array of items) using a hash function. It enables fast retrieval of information based on its key. The
2 min read
Linked List Data StructureA linked list is a fundamental data structure in computer science. It mainly allows efficient insertion and deletion operations compared to arrays. Like arrays, it is also used to implement other data structures like stack, queue and deque. Hereâs the comparison of Linked List vs Arrays Linked List:
2 min read
Stack Data StructureA Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). LIFO implies that the element that is inserted last, comes out first and FILO implies that the element that is inserted first
2 min read
Queue Data StructureA Queue Data Structure is a fundamental concept in computer science used for storing and managing data in a specific order. It follows the principle of "First in, First out" (FIFO), where the first element added to the queue is the first one to be removed. It is used as a buffer in computer systems
2 min read
Tree Data StructureTree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes. Types of TreeBinary Tree : Every node has at most two childrenTernary Tree : Every node has at most
4 min read
Graph Data StructureGraph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of problems on different topics like DFS, BFS, Topological Sort, Shortest Path, etc., please refer to Graph Algorithms. Basics of
3 min read
Trie Data StructureThe Trie data structure is a tree-like structure used for storing a dynamic set of strings. It allows for efficient retrieval and storage of keys, making it highly effective in handling large datasets. Trie supports operations such as insertion, search, deletion of keys, and prefix searches. In this
15+ min read
Algorithms
Searching AlgorithmsSearching algorithms are essential tools in computer science used to locate specific items within a collection of data. In this tutorial, we are mainly going to focus upon searching in an array. When we search an item in an array, there are two most common algorithms used based on the type of input
2 min read
Sorting AlgorithmsA Sorting Algorithm is used to rearrange a given array or list of elements in an order. For example, a given array [10, 20, 5, 2] becomes [2, 5, 10, 20] after sorting in increasing order and becomes [20, 10, 5, 2] after sorting in decreasing order. There exist different sorting algorithms for differ
3 min read
Introduction to RecursionThe process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. A recursive algorithm takes one step toward solution and then recursively call itself to further move. The algorithm stops once we reach the solution
14 min read
Greedy AlgorithmsGreedy algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution. At every step of the algorithm, we make a choice that looks the best at the moment. To make the choice, we sometimes sort the array so that we can always get
3 min read
Graph AlgorithmsGraph is a non-linear data structure like tree data structure. The limitation of tree is, it can only represent hierarchical data. For situations where nodes or vertices are randomly connected with each other other, we use Graph. Example situations where we use graph data structure are, a social net
3 min read
Dynamic Programming or DPDynamic Programming is an algorithmic technique with the following properties.It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. The idea is to simply store the results of
3 min read
Bitwise AlgorithmsBitwise algorithms in Data Structures and Algorithms (DSA) involve manipulating individual bits of binary representations of numbers to perform operations efficiently. These algorithms utilize bitwise operators like AND, OR, XOR, NOT, Left Shift, and Right Shift.BasicsIntroduction to Bitwise Algorit
4 min read
Advanced
Segment TreeSegment Tree is a data structure that allows efficient querying and updating of intervals or segments of an array. It is particularly useful for problems involving range queries, such as finding the sum, minimum, maximum, or any other operation over a specific range of elements in an array. The tree
3 min read
Pattern SearchingPattern searching algorithms are essential tools in computer science and data processing. These algorithms are designed to efficiently find a particular pattern within a larger set of data. Patten SearchingImportant Pattern Searching Algorithms:Naive String Matching : A Simple Algorithm that works i
2 min read
GeometryGeometry is a branch of mathematics that studies the properties, measurements, and relationships of points, lines, angles, surfaces, and solids. From basic lines and angles to complex structures, it helps us understand the world around us.Geometry for Students and BeginnersThis section covers key br
2 min read
Interview Preparation
Practice Problem