Sorting algorithms are a set of methods and techniques used to organize and rearrange a collection of items in a specific order. There are many different sorting algorithms with varying…
Stacks and queues are two commonly used data structures that have different behavior for adding and removing elements. Here is an example of how to implement a stack in Python:…
Time and space complexity analysis is a way to measure the performance of an algorithm. It helps us understand how the algorithm will behave as the size of the input…
Trees are a fundamental data structure used in computer science for various purposes such as searching, sorting, and data organization. There are many different types of trees, each with their…
A Trie, also known as a prefix tree, is a tree-like data structure that is used to store a collection of strings. Each node in a trie represents a character…
A disjoint set, also known as a union-find data structure, is a collection of sets, where each set is disjoint (i.e., no elements are shared between sets). The main operations…
Backtracking is a general algorithm for finding all solutions by incrementally building candidates to the solutions, and abandoning a candidate (“backtracking”) as soon as it is determined that the candidate…
Arrays and linked lists are two commonly used data structures for storing and manipulating collections of data. Here is an example of how to implement an array in Python: And…
Data structures: Algorithms:
Recursion is a technique in computer science where a function calls itself in order to solve a problem. A function that uses recursion is called a recursive function. Recursive functions…
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