An AVL Tree would be preferred for storing a symbol table in a compiler. AVL Trees guarantee a stricter balance compared to Red-Black Trees, leading to faster search operations. The compiler's symbol table benefits from the AVL Tree's consistent logarithmic time complexity for search operations.

The objective of the coin change problem is to find the minimum number of coins needed to make up a given target value. It involves determining the optimal combination of coins to minimize the total number of coins used.

In a plagiarism detection system, utilizing the longest common substrings involves extracting these substrings and comparing their frequencies across different papers. This helps efficiently identify potential instances of plagiarism by pinpointing similarities in content.

The greedy behavior in regular expression matching tries to match as many characters as possible in a given input string. This means that the pattern will attempt to extend as far as it can within the constraints of the overall match.

Quick Sort's partition step divides the array into two subarrays. It chooses a pivot, rearranges the elements such that elements less than the pivot are on the left, and elements greater than the pivot are on the right. This step is pivotal for the algorithm.

The time complexity of the brute-force approach for finding the Longest Palindromic Substring is O(n^2), where 'n' is the length of the input string. This is because it involves nested loops to explore all possible substrings.

The Rabin-Karp Algorithm uses hashing to efficiently find the occurrence of a pattern within a text. It employs hash functions to create hash values for the pattern and substrings of the text, enabling faster pattern matching.

To find the total number of possible combinations in the coin change problem, we can modify the problem to use a combinatorial approach instead of minimizing the number of coins. This involves counting all possible ways to make change without focusing on the specific coin denominations used.

Depth-First Search explores as far as possible along each vertex before backtracking. It follows a recursive approach, visiting a vertex, exploring as far as possible, and then backtracking.

Queues are frequently employed in real-time systems to manage tasks and processes. Real-time systems require timely execution of tasks to meet specific deadlines, and queues help in organizing and prioritizing these tasks efficiently.

Insertion sort is similar to bubble sort as it repeatedly compares adjacent elements and swaps them if they are in the wrong order, just like bubble sort.

Binary search operates by repeatedly dividing the sorted array in half until the desired element is found or determined to be absent. The array must be sorted for binary search to work correctly.