Subsets - Given an integer array nums of unique elements, return all possible subsets (the power set). The solution set must not contain duplicate subsets. Return the solution in any order.

In-depth solution and explanation for LeetCode 78. Subsets in Python, Java, C++ and more. Intuitions, example walk through, and complexity analysis. Better than official and forum …

We can use \ (2^n\) binary numbers to represent all subsets of \ (n\) elements. For the current binary number \ (mask\), if the \ (i\) th bit is \ (1\), it means that the \ (i\) th element is selected, …

Detailed solution explanation for LeetCode problem 78: Subsets. Solutions in Python, Java, C++, JavaScript, and C#.

Mar 19, 2025 · During my recent LeetCode grind, I found myself struggling with subset pattern problems — one of the most common yet tricky problem types in coding interviews. After …

Given an array of distinct integers, the task is to return all possible subsets (also known as the power set). This includes the empty subset and the full array itself.

All subsets of the given array are generated from these different recursive paths, which represent various combinations of "include" and "not include" steps for the elements of the array.

LeetCode Solutions in C++23, Java, Python, MySQL, and TypeScript.

LeetCode 78, Subsets, is a medium-level problem where you’re given an integer array nums containing distinct elements. Your task is to return all possible subsets (the power set) of the …

This approach builds the solution iteratively. It starts with an empty subset in the result list. Then, it iterates through each number in the input array. For each number, it goes through all the …