There are a plethora of examples and applications of divide and conquer algorithms in computer science, such as sorting, searching, multiplying large numbers, finding the closest pair of points, computing the discrete Fourier transform, and solving linear recurrences. Some of the most renowned divide and conquer algorithms are Merge sort, Quick sort, Binary search, Karatsuba algorithm, and Strassen algorithm. Merge sort is a sorting algorithm that divides the input array into two halves, sorts each half recursively, and merges them in linear time. Quick sort is a sorting algorithm that partitions the input array around a pivot element, sorts each partition recursively, and returns the concatenated result. Binary search is a searching algorithm that finds an element in a sorted array by repeatedly halving the search range and comparing the middle element with the target. The Karatsuba algorithm is a multiplication algorithm that reduces the number of elementary operations needed to multiply two large numbers by splitting them into smaller parts and applying some clever tricks. Strassen algorithm is a matrix multiplication algorithm that reduces the number of elementary operations needed to multiply two square matrices by splitting them into smaller submatrices and applying some clever tricks.