Solution Review: Missing Number
We solved the problem using lookup (hashtable), using the mathematical formula. Let's solve this more efficiently using bit-level operations with XOR and then optimize the solution.
Methods to store, organize & process data efficiently for speed and memory optimization. DSA (Data Structures & Algorithms) means organizing data efficiently (arrays, trees, graphs, hash maps) and using step-by-step logic (sorting, searching, traversal) to solve problems quickly and with minimal memory β the foundation for building software that performs well at large scale.
We solved the problem using lookup (hashtable), using the mathematical formula. Let's solve this more efficiently using bit-level operations with XOR and then optimize the solution.
Single Number coding question, can be easily solved with XOR bitwise technique with linear time complexity.
In this lesson, every element appears twice except one element. We solve this using naive, and then we move to solve it more optimally using XOR operator.
Hamming distance talks about two integers where the bit positions where the corresponding bits are different.
In this question, input two numbers and detect if they have opposite signs. We solve using bitwise XOR operator
In this coding question, we find the odd-appearing element using bitwise xor. This algorithm is simple yet powerful.
In this coding question, we input two numbers and swap them without using the swapping logic.
A Bitwise XOR is a binary operation that takes two-bit patterns of equal length and performs the logical exclusive OR operation on each corresponding bits pair. Each positionβs result is 0 if both bits are 0 or if both bits are 1. Otherwise, the result is 1.
The Bitwise XOR operator is denoted by ^. When an XOR gate is given with 2 inputs, the corresponding outputs will be: If two input bits are different, the output is 1. In all other cases, it is 0.
Let's solve this using brain kernighan's algorithm. This is optimized to O(1) time and space.