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The sliding window technique is a popular algorithmic approach used to solve a variety of problems involving arrays or strings. It involves maintaining a "window" of elements within an array or string and sliding it over the data to efficiently perform operations, such as finding subarrays or substrings with specific properties

Recursion and backtracking are important problem-solving techniques in computer science. They both involve breaking down complex problems into simpler subproblems, with recursion focusing on solving these subproblems by calling the same function, and backtracking concentrating on exploring possibilities and undoing choices when necessary.

Question patterns" generally refer to common types or formats of questions that are frequently encountered in various fields, including education, assessments, and problem-solving scenarios. These patterns help structure questions, guide understanding, and provide consistency in evaluating knowledge and skills

A linked list is a linear data structure used to store a collection of elements, where each element (node) contains a value and a reference to the next node in the sequence. Linked lists provide dynamic memory allocation and efficient insertion and deletion operations compared to arrays, making them versatile for various programming tasks

Heaps are specialized binary trees used to efficiently manage and retrieve elements with certain properties, often focusing on either the smallest or largest element. They are commonly used in priority queues and provide fast access to the most significant or least significant element based on a comparison criterion

Greedy Algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a globally optimal solution. They are used in optimization and decision-making problems where a series of choices need to be made to achieve the best overall result.

Graph Questions" typically refer to problems or questions that involve graphs, a fundamental data structure used to represent relationships between entities. These questions can cover a wide range of topics, from simple traversal to complex optimization problems. Here's a brief overview of graph-related questions

Graphs are a fundamental data structure used to represent relationships between entities. They consist of nodes (vertices) connected by edges, allowing you to model a wide range of real-world scenarios and solve various computational problems

Dynamic Programming is a powerful technique in computer science and mathematics that's used to solve problems by breaking them down into smaller subproblems and storing their solutions to avoid redundant calculations. It's particularly useful for optimization problems where you want to find the best solution among many possible solutions.

A Binary Tree is a hierarchical data structure composed of nodes, where each node can have at most two child nodes, referred to as the left child and the right child. The binary tree structure is used in various applications for organizing and managing data in a hierarchical manner.