Find a Subarray with a Given Sum using Hashing in Python
This program demonstrates how to find a contiguous subarray within a one-dimensional array of numbers that sums to a specified target value. We use a hashing technique for efficient lookup.…
This program demonstrates how to find a contiguous subarray within a one-dimensional array of numbers that sums to a specified target value. We use a hashing technique for efficient lookup.…
The Two Sum problem is a classic algorithmic challenge where the goal is to find two numbers in an array that add up to a specific target sum. This implementation…
This Python program counts the frequencies of elements in an array using a hash table (dictionary). Hashing allows us to efficiently track the occurrences of each element in the array.…
Overview A hash table is a data structure that maps keys to values for efficient data retrieval. It uses a hash function to compute an index into an array of…
The Bubble Sort algorithm is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. The process…
Overview Selection sort is a simple and intuitive sorting algorithm. It works by repeatedly selecting the minimum element from the unsorted portion of the list and moving it to the…
Introduction Merge Sort is a divide-and-conquer algorithm that sorts an array by recursively dividing it into two halves, sorting each half, and then merging the sorted halves back together. This…
Quick Sort is an efficient sorting algorithm that employs a divide-and-conquer strategy to sort elements in an array or list. It works by selecting a ‘pivot’ element from the array…
Overview Heap sort is a comparison-based sorting algorithm that uses a binary heap data structure. It consists of two main phases: Building a max heap from the input data. Repeatedly…
The binary search algorithm is an efficient method for finding a target value within a sorted array or list. It works by repeatedly dividing the search interval in half. If…