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Showing posts from August, 2023

Day 9 - Challenge 2 - Reverse Linked List

Reversing a Singly Linked List in JavaScript: An In-Place Approach Introduction:   Singly linked lists are fundamental data structures in computer science that consist of a sequence of nodes, each containing data and a reference to the next node in the list. Reversing a singly linked list is a classic problem that challenges programmers to manipulate pointers effectively to achieve the desired outcome. In this blog post, we'll explore the problem of reversing a singly linked list using an in-place approach and provide a step-by-step solution in JavaScript. Problem Statement:   Given the head of a singly linked list, our task is to reverse the list in-place and return its new head. In other words, we need to modify the pointers of the nodes in such a way that the direction of the linked list is reversed. Solution Approach:   To solve this problem, we will iterate through the linked list while maintaining three pointers: previous , current , and next . The previous pointer...

Day 9 - Challenge 1 - Product of Array Except Self

Solving the "Product of Array Except Self" Problem in JavaScript Are you ready to dive into a common coding challenge that not only tests your programming skills but also sharpens your problem-solving mindset? If you're up for the challenge, let's tackle the "Product of Array Except Self" problem together using JavaScript. This problem requires us to return an array where each element at index i is the product of all the elements in the original array except the one at index i . Understanding the Problem:   Imagine you're given an array of integers, let's call it nums . Your task is to create a new array where the value at index i in this new array is the product of all the elements in nums , except the one at index i . In other words, you're calculating the product of all the elements to the left of nums[i] and the product of all the elements to the right of nums[i] , and then multiplying these two products to get the final value at index i ...

Day 8 - Challenge 3 - Unique Email Addresses

Solving the Problem of Counting Unique Email Addresses in JavaScript Introduction:  In today's digital age, email communication is an integral part of our lives. However, dealing with unique email addresses can sometimes be challenging due to variations that arise from period usage and the '+' character. In this blog post, we will explore how to tackle the problem of counting unique email addresses using JavaScript. Problem Statement: We are given a list of email addresses, and our task is to determine the number of unique email addresses. A unique email address consists of a local name and a domain name. The local name may contain periods ('.') and the character '+' which is ignored. Example:  Let's consider the following list of email addresses: "test.email+abc@gmail.com" "test.e.mail@gmail.com" "testemail@gmail.com" In this case, the number of unique email addresses is 1, as all three email addresses map to the same uniqu...

Day 8 - Challenge 2 - Move Zeroes to the End

Moving Zeroes to the End: A JavaScript Solution Introduction:   When working with arrays, there are often times when we need to manipulate their elements to achieve a specific goal. One common problem is moving all zeroes to the end of an array while keeping the order of non-zero elements unchanged. In this blog post, we will explore an elegant solution to this problem using JavaScript. We'll discuss the problem statement, the approach we'll take, and provide a step-by-step guide to implementing the solution. The Problem:   Given an array of integers, the task is to move all zeroes to the end of the array while maintaining the relative order of the non-zero elements. This means that after rearranging the array, all the zeroes should be at the end, and the order of the non-zero elements should remain the same. The Approach:   To solve this problem, we can utilize a two-pointer approach. We'll maintain two pointers, one for iterating through the array and another for keepin...

Day 8 - Challenge 1 - Intersection of Two Arrays

Finding the Intersection of Two Arrays using JavaScript Introduction   Arrays are an essential data structure in programming, allowing us to store and manipulate collections of elements. In many scenarios, we need to find common elements between two arrays. This process is commonly referred to as finding the "intersection" of two arrays. In this blog post, we'll explore a simple and efficient JavaScript program to find the intersection of two arrays. The Problem   Given two arrays, our task is to find the distinct common elements between them. In other words, we want to identify the values that appear in both arrays without any duplicates. Approach   We'll use a hash set to keep track of elements from one array and then iterate through the second array to identify common elements. Here's a step-by-step breakdown of our approach: Create an empty hash set. Iterate through the first array and add each element to the hash set. Create an empty result array to store the...

Day 7 - Challenge 3 - Finding Duplicate Numbers in Array

Solving the Duplicate Number Dilemma: Unearthing Hidden Duplicates in JavaScript Introduction:  Have you ever been faced with a perplexing puzzle involving an array of numbers, where one number seems to have duplicated itself? Fear not, for today we embark on a journey to decipher this mystery using the power of JavaScript! In this blog post, we'll unravel the enigma of finding a duplicate number in an array, utilizing a simple yet effective approach that leverages the characteristics of the given integers. The Problem:  Imagine you're presented with an array of n+1 integers, where each integer falls between the range of 1 and n. Hidden within this array is a single duplicate number, and your task is to unveil its identity. The Solution:  Fear not, for the solution is closer than you think. We'll use a technique known as the "tortoise and hare" algorithm, which is based on Floyd's cycle-finding algorithm. This approach is highly efficient with a time complexit...

Day 7 - Challenge 2 - Valid Parentheses: A Guide to Checking Bracket Validity in JavaScript

Valid Parentheses: A Guide to Checking Bracket Validity in JavaScript Brackets are a fundamental part of programming languages and are used to group and structure code. In this blog post, we will explore the problem of determining whether a given string of brackets is valid or not using JavaScript. This problem is commonly referred to as the "Valid Parentheses" problem. Understanding the Problem: The problem statement provides a string that consists of three types of brackets: ( , ) , { , } , [ , and ] . The task is to determine whether the brackets in the string are arranged in a valid manner. For a string to be valid, each opening bracket must have a corresponding closing bracket of the same type, and they must be arranged in the correct order. For example, the strings "(){}[]" and "{[()]}" are valid, while "([)]" and "{{]}" are not. Approach: To solve this problem, we can use a stack data structure. The stack will help us keep tr...

Day 7 - Challenge 1 - Find Most Common Number

Finding the Most Common Number: Moore's Voting Algorithm in JavaScript Introduction In the realm of algorithmic problem-solving, the Majority Element problem holds a significant place. It involves finding an element in an array that appears more than half of the time. With a guaranteed existence of such an element, solving this problem requires efficient techniques. In this blog post, we'll explore the Majority Element problem, understand its importance, and implement a JavaScript program to solve it. Understanding the Problem The Majority Element problem can be formally stated as follows: Given an array of integers, find the element that appears more than n/2 times, where n is the length of the array. The problem can be approached in various ways, and one of the crucial aspects is to find a solution with a time complexity better than O(n^2). Boyer-Moore Voting Algorithm One of the most efficient ways to solve the Majority Element problem is by using the Boyer-Moore Voting Algo...

Day 6 - Challenge 3 - Array Rotation JavaScript

Solving the Array Rotation Problem using JavaScript Introduction:  Array manipulation is a common task in programming, and one interesting challenge is rotating an array to the right by a given number of steps. In this blog post, we will explore the array rotation problem, understand the approach to solving it, and implement a JavaScript program that effectively rotates an array. Problem Description:  Given an array of integers and a rotation count k , the task is to rotate the array to the right by k steps. For instance, if the input array is [1, 2, 3, 4, 5] and k is 2, the expected output would be [4, 5, 1, 2, 3] . Approach:  To solve the array rotation problem, we can use a cyclic rotation approach. The idea is to repeatedly move the elements to their final positions while ensuring that we don't overwrite any values. This can be achieved in a few steps: Calculate the effective rotation count: Since rotating an array by its length or multiples of its length would res...

Day 6 - Challenge 2 - Search a word in 2D grid of letters

Solving the Word Search Problem using JavaScript Introduction:  The Word Search problem is a classic puzzle where you're given a grid of letters and a target word, and you need to determine whether the word can be formed by tracing adjacent cells in the grid. In this blog post, we'll explore how to solve the Word Search problem using JavaScript. We'll cover the algorithmic approach, provide a step-by-step guide to implementation, and discuss some optimizations to make our solution more efficient. Algorithmic Approach:  To solve the Word Search problem, we can employ a Depth-First Search (DFS) approach. We'll traverse the grid and recursively check adjacent cells to see if the current cell matches the next letter of the target word. If it does, we continue the search from that cell. We need to keep track of the cells we've already visited to avoid revisiting them and getting stuck in an infinite loop. Implementation Steps:  Let's break down the implementation int...

Day 6 - Challenge 1 - Rotating a 2D Matrix in Place

Rotating a 2D Matrix in Place: A JavaScript Solution Introduction:   Rotating a 2D matrix by 90 degrees clockwise is a classic algorithmic problem that challenges your ability to manipulate arrays and indexes efficiently. In this blog post, we will explore an elegant solution to this problem using JavaScript, without requiring any extra space. We'll break down the problem, outline the approach, and provide a step-by-step implementation. Problem Statement:   Given a 2D matrix represented as an array of arrays, your task is to rotate the matrix by 90 degrees clockwise in-place. Approach:   The key idea behind rotating a matrix in-place is to perform a series of cyclic swaps of elements. We'll start by working on the outermost layer of the matrix and move towards the inner layers. For each layer, we'll perform a cyclic swap of four elements in a clockwise manner until the entire matrix is rotated. Implementation in JavaScript:   Let's dive into the JavaScript code that ...

Day 5 - Challenge 3 - Spiral Matrix Puzzle

Spiraling Inwards: Solving the Spiral Matrix Puzzle in JavaScript Are you ready to embark on a fascinating journey into the world of matrices? In this blog post, we'll explore a captivating problem: generating a spiral matrix filled with integers in an ever-increasing order. We'll dive into the mechanics of the solution and implement it step by step using the power of JavaScript. Let's unravel the magic of creating a spiral matrix that's sure to spark your curiosity! Understanding the Spiral Matrix Problem Before we delve into the solution, let's get a clear understanding of the problem at hand. A spiral matrix is a 2D matrix with a fascinating pattern – its elements are filled in a spiral order, starting from the top-left corner and spiraling inwards towards the center. The challenge is to generate such a matrix of size n x n and fill it with integers in increasing order. The Strategy: From Outer Rings to Inner Core To tackle this intriguing problem, we'll brea...

Day 5 - Challenge 2 - Longest Common Subsequence

Solving the Longest Common Subsequence Problem using JavaScript Introduction The Longest Common Subsequence (LCS) problem is a classic dynamic programming challenge that involves finding the length of the longest subsequence shared between two strings. In this blog post, we will delve into a step-by-step solution to this problem using a dynamic programming approach in JavaScript. Dynamic Programming Approach To solve the LCS problem efficiently, we will adopt a dynamic programming strategy. The core idea is to create a 2D table where each cell (i, j) represents the length of the LCS between the first i characters of the first string and the first j characters of the second string. Let's break down the process of solving this problem: Initialization : Create a 2D array dp of dimensions (m+1) x (n+1) , where m and n are the lengths of the two input strings. Iteration : Use nested loops to iterate over each character in the two strings. Let i denote the current index in the first ...

Day 5 - Challenge 1 - Two Sum

Solving the Two Sum Problem in JavaScript The Two Sum problem is a classic coding challenge that involves finding two numbers in an array that add up to a given target sum. In this blog post, we'll walk through the problem-solving process step by step and implement a solution in JavaScript. Problem Statement Given an array of integers and a target sum, our task is to find two distinct numbers from the array that add up to the target sum. We need to return the indices of these two numbers in the array. For example, if the input array is [2, 7, 11, 15] and the target sum is 9 , the output should be [0, 1] because 2 + 7 = 9 . Approach To solve this problem efficiently, we can use a hash map to store the numbers we have encountered so far along with their indices. As we iterate through the array, we can check if the difference between the current number and the target sum exists in the hash map. If it does, then we've found our solution. Here's the step-by-step approach: Crea...

Day 4 - Challenge 1 - Find the Missing Number

Solving the Missing Number Problem using JavaScript Have you ever encountered a situation where you had a list of numbers in a sequence, but one number seemed to be missing? Don't worry, it's a common problem that can be solved using a simple approach in JavaScript. In this blog post, we'll explore the "Missing Number" problem, understand its essence, and walk through a step-by-step solution using JavaScript. Understanding the Problem: Imagine you have an array of n-1 distinct numbers, taken from the range 1 to n . However, one number is missing from this sequence, and your task is to identify that missing number. Approach: We can approach this problem by exploiting the mathematical properties of the sum of consecutive natural numbers. The sum of the first n natural numbers can be calculated using the formula: sum = n * (n + 1) / 2 . We will use this formula to find the sum of the entire sequence of numbers. Here's the plan: Calculate the sum of the first n ...

Day 4 - Challenge 3 - Anagram Checker

Solving the Anagram Puzzle: An Anagram Checker in JavaScript Are you familiar with the term "anagram"? An anagram is a word or phrase formed by rearranging the letters of another word or phrase, using all the original letters exactly once. For instance, the word "listen" can be rearranged to form "silent," making them anagrams of each other. Anagrams are not only an intriguing linguistic phenomenon but also a popular puzzle in the realm of wordplay. In this blog post, we'll delve into the concept of anagrams, understand the problem they pose, and craft a simple yet effective JavaScript program to check whether two strings are anagrams. Understanding the Anagram Problem Anagrams are like word puzzles that challenge us to find creative ways of rearranging letters to form new words. This process involves maintaining the same set of characters but altering their arrangement to unveil hidden meanings or relationships between words. The challenge here is to ...

Day 4 - Challenge 2 - Largest Subarray Sum

Solving the Largest Subarray Sum Problem Introduction Algorithmic problem-solving often takes us through a labyrinth of data manipulation and innovative algorithm design. In this blog post, we will explore the intriguing "Largest Subarray Sum" problem. We will delve into the problem's significance and intricacies, and present a JavaScript solution that not only conquers the challenge but also illuminates fundamental algorithmic techniques. Understanding the Problem Consider an array of integers, e.g., [1, -3, 2, 1, -1] . The task is to find the contiguous subarray (a subset of the array with consecutive elements) that yields the largest sum. In this example, the subarray [2, 1] has the largest sum of 3. The objective is to devise an algorithm that not only identifies the maximum sum but also provides the starting and ending indices of the subarray. Approach: Kadane's Algorithm Kadane's Algorithm, named after computer scientist Jay Kadane, is a widely used approac...

Day 3 - Challenge 3 - Armstrong Number Checker

Exploring Armstrong Numbers: A Fascinating Mathematical Phenomenon Have you ever encountered the term "Armstrong number" while diving into the world of programming or mathematics? If not, you're in for an intriguing journey of discovery! Armstrong numbers, also known as narcissistic numbers or pluperfect digital invariants, are a captivating mathematical phenomenon that can be explored through coding. In this blog post, we'll unravel the mystery behind Armstrong numbers and provide you with a JavaScript program to check whether a given number qualifies as an Armstrong number. Understanding Armstrong Numbers An Armstrong number (also referred to as a narcissistic number or pluperfect digital invariant) is a number that is equal to the sum of its own digits raised to the power of the number of digits. Let's break this down with an example: Take the number 153. It has three digits. Now, let's compute the sum of its digits raised to the power of three (the number ...

Day 3 - Challenge 2 - Reverse String

Solving the Classic Programming Problem: Reversing a String in JavaScript Introduction : Programming is like solving puzzles, and every programmer encounters certain classic problems that test their problem-solving skills. One such timeless problem is reversing a string. In this blog post, we'll dive into the problem of reversing a string and explore its various solutions using JavaScript. We'll discuss the intuitive approach, a more efficient method, and provide a step-by-step guide to writing a JavaScript program to reverse a string. Additionally, we'll provide a live demo to showcase the solutions in action. The Problem: Reversing a String: The task at hand is simple in theory: given a string, we want to reverse its order of characters. However, this seemingly straightforward problem can be approached in multiple ways, each with varying levels of complexity and efficiency. Approach 1: The Intuitive Approach: The most intuitive way to reverse a string is by looping th...