Merge Sort is a powerful and efficient sorting algorithm that is widely used in real-world software. Unlike simple sorting methods, Merge Sort uses a smart idea called divide and conquer. This means it breaks a large problem into smaller parts, solves them one by one, and then joins the results together. In JavaScript, Merge Sort […]
JavaScript Program to Implement Merge Sort Read More »
Selection Sort is another simple and beginner-friendly sorting algorithm that helps new learners understand how sorting works in JavaScript. The main idea of Selection Sort is very easy to follow. It works by finding the smallest value in an array and placing it at the correct position, then repeating the same process for the remaining
JavaScript Program to Implement Selection Sort Read More »
Insertion Sort is a simple and friendly sorting algorithm that feels very natural to understand. It works the same way people often sort playing cards in their hands. You pick one card at a time and place it in the correct position among the already sorted cards. In JavaScript, Insertion Sort follows this same idea
JavaScript Program to Implement Insertion Sort Read More »
Breadth-First Search, often known as BFS, is one of the most important graph traversal algorithms used in computer science. It works by exploring all neighbors at the current level before moving deeper, making the search feel like it spreads outward in waves from the starting node. This level-by-level approach is very helpful when you need
Rust Program to Implement Breadth-First Search Read More »
Bubble Sort is one of the oldest and simplest sorting algorithms, and that is why it is often the first one beginners learn when studying JavaScript or any other programming language. The idea behind Bubble Sort is very easy to understand. It works by comparing two neighboring values and swapping them if they are in
JavaScript Program to Implement Bubble Sort Read More »
Fibonacci Search is an interesting and efficient searching algorithm for sorted arrays, built on the principles of the Fibonacci sequence. Unlike binary search, which splits the array in half, Fibonacci Search uses Fibonacci numbers to divide the array into sections, which can sometimes provide faster search performance, especially in systems where arithmetic operations are expensive.
Rust Program to Implement Fibonacci Search Read More »
Depth-First Search, often called DFS, is one of the most important graph-traversal algorithms in computer science. It follows a simple but powerful idea: start from a node, explore one direction as far as possible, and only then backtrack to explore other paths. Because it travels deep before moving sideways, DFS becomes useful when you need
Rust Program to Implement Depth-First Search Read More »
Exponential Search is a powerful searching algorithm designed for sorted arrays, combining the speed of exponential growth with the precision of binary search. It works by first finding a range where the target element may exist and then performing a binary search within that range. This approach is particularly useful when the element is located
Rust Program to Implement Exponential Search Read More »
Ternary Search is a searching algorithm used for finding an element in a sorted array by dividing the search space into three parts instead of two, as in Binary Search. It repeatedly narrows down the interval by comparing the target value with two midpoints. This allows it to eliminate one-third of the array in each
Rust Program to Implement Ternary Search Read More »
Jump Search is a searching algorithm designed to work on sorted arrays. Unlike Linear Search, which checks each element one by one, or Binary Search, which divides the array in half each time, Jump Search moves in fixed-size steps or “jumps” to quickly find the target. When it overshoots the target, it performs a linear
Rust Program to Implement Jump Search Read More »
