Rust Coding Practice

Solve Count Unique Rearrangeable Substrings using Rust Language

Solve Count Unique Rearrangeable Substrings using Rust to enhance your skills with rust coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Count Unique Rearrangeable Substrings

Difficulty : Hard

Categories :

  • Strings

Given a string s, find the number of different non-empty substrings that can be formed by rearranging its characters in any order (anagrams count as the same substring).

For example, if s = "abc", substrings "ab", "ba" are considered the same because they are anagrams.

Constraints:

  • 1 ≤ s.length ≤ 15
  • s consists of lowercase English letters only
  • Memory usage must be optimized

Examples:

Input: s = "abc"
Output: 6
Explanation: Different substrings are:
Length 1: "a", "b", "c" (3 substrings)
Length 2: "ab"/"ba", "ac"/"ca", "bc"/"cb" (3 substrings)
Length 3: "abc"/"acb"/"bac"/"bca"/"cab"/"cba" (1 substring)
Input: s = "aab"
Output: 3
Explanation: Different substrings are:
Length 1: "a", "b" (2 substrings)
Length 2: "ab"/"ba" (1 substring)
Length 3: "aab"/"aba"/"baa" (1 substring)

Problem Solving

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What You'll Find Here

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Choose from the following categories

Arrays A collection of elements stored in contiguous memory locations, allowing efficient random access and manipulation.

Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

Trees A hierarchical data structure with nodes connected by edges, used in applications like databases, file systems, and parsing.

Graphs A collection of nodes (vertices) connected by edges, representing relationships, widely used in networking, routing, and social networks.

Dynamic Programming An optimization technique that solves problems by breaking them into overlapping subproblems and storing their results.

Backtracking A problem-solving method that explores all possibilities recursively, backtracking when a solution is not feasible.

Sorting Algorithms Techniques for arranging elements in a specific order, such as quicksort, mergesort, and bubble sort, essential for data organization.

Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

Mathematics A field of study involving numbers, calculations, and logical reasoning, forming the foundation for algorithms and problem-solving.

Recursion A programming technique where a function calls itself to solve smaller instances of the same problem, often used in divide-and-conquer approaches.

Bit Manipulation Operations performed directly on binary representations of data, used for efficient computations and optimization tasks.