LINEAR SEARCH IN JAVA 🌟 1. What is Linear Search? Linear Search (also called Sequential Search) is the simplest searching algorithm. It checks each element one by one until the desired element (called the key or target) is found — or until the list ends. ✅ Key Idea: “Start from the first element and compare each element with the target until you find it.” 2. Example Suppose you have this array: arr = [5, 9, 2, 8, 1, 3] target = 8 Step-by-step search: Step Element Comparison Result 1 5 5 == 8 ? ❌ Continue 2 9 9 == 8 ? ❌ Continue 3 2 2 == 8 ? ❌ Continue 4 8 8 == 8 ? ✅ Found at index 3 👉 Output: Element found at index 3 (0-based indexing). 3. Algorithm (Step-by-Step) Start from index 0. Compare arr[i] with the key. If arr[i] == key, return the index. If not, move to the next element. If the end of the array is reached → element not found. 4. Dry Run (Trace) i arr[i] key arr[i]==key? Action 0 5 8 ❌ Continue 1 9 8 ❌ Continue 2 2 8 ❌ Continue 3 8 8 ✅ Found → Break 4. Characteristics ✅ Simple and easy to implement ✅ Works on unsorted or sorted arrays ❌ Inefficient for large datasets ❌ Slow compared to Binary Search (which works only on sorted arrays) 5.. When to Use Linear Search? Use Linear Search when: The data is small or unsorted. You don’t want to sort before searching. Simplicity is preferred over speed. Avoid it when: The dataset is large (use Binary Search instead). 6.Real-World Example Searching for a specific name in a small contact list on a phone. Finding a book by title in an unsorted bookshelf. Checking a student roll number in a small class record. #Java #JavaFullStack #Programming #LinearSearch #Codegnan Anand Kumar Buddarapu Saketh Kallepu Uppugundla Sairam
How to Implement Linear Search in Java
More Relevant Posts
-
📚 Understanding Arrays in Java – Quick Guide Arrays are a fundamental data structure used to store fixed-size, same-type elements contiguously in memory. They are widely used in programming and interviews. 1️⃣ 1D Arrays: Simple, single row of elements Access by index: O(1) int[] arr = {5,10,15,20}; arr[0] → 5, arr[arr.length-1] → 20 2️⃣ 2D Arrays: Grid or matrix of elements int[][] mat = {{1,2,3},{4,5,6}}; mat[0][1] → 2 3️⃣ Jagged Arrays: Rows can have different sizes int[][] jag = new int[3][]; jag[0] = new int[2]; jag[1] = new int[4]; 4️⃣ 3D Arrays: Layers of 2D matrices, like a stack of grids int[][][] cube = { {{1,2},{3,4}}, {{5,6},{7,8}} }; cube[0][1][1] → 4 Key Operations: Traversal: for / for-each → O(n) Search: linear / binary → O(n) / O(log n) Update: arr[i] = value → O(1) Insert/Delete: costly → O(n) Pro Tips: Solve reverse, max/min, sum, prefix sum problems Apply two-pointer technique for efficiency Always consider edge cases: empty or single-element arrays 💡 Memory Tip: Visualize arrays as boxes: index = label, value = content 2D = grid, 3D = stack of grids Arrays are simple but mastering them is crucial for coding interviews and real-world programming. #Java #DataStructures #ArraysTopic #Programming #CodingTips #LearnEveryday
To view or add a comment, sign in
-
-
🚀 Java Learning Series — Day 5 Topic: Introduction to Threads in Java ☕️ A Thread is a sort of mini-worker within your program that performs tasks independently. Instead of doing everything one-by-one, threads let Java do multiple things at the same time. ------------------------------------- Quick Notes: • Thread → a lightweight process running independently • Multithreading: Running multiple threads together • Main thread → the one that starts automatically when program runs ------------------------------------- Simple Code: class MyWork extends Thread { public void run() { System.out.println("Thread is working: " + Thread.currentThread().getName()); } public static void main(String[] args) { MyWork t1 = new MyWork(); MyWork t2 = new MyWork(); t1.start(); t2.start(); System.out.println("Main thread continues…"); } } ------------------------------------- ⚙️ Real-World Places You See Threads: 1. You scroll Instagram while videos load in the background 2. WhatsApp: Sending message + loading DP + encryption — all parallel 3. Music App: audio playing + lyrics sync + animation ✨ 4. Browser: multiple tabs loading at once 5. PUBG/BGMI: render graphics + network updates + input controls ------------------------------------- Interview-Quick Questions: 1️⃣ What is a Thread in Java? 2️⃣ What is the difference between Process and Thread? 3️⃣ What is main thread? 4️⃣ Why do we use start() instead of calling run() directly? 5️⃣ What is Multithreading and its benefits? ------------------------- #Java #Threads #LearnWithRahulVarma #100DaysOfJava #CodingJourney #MultiThreading #SoftwareEngineer #LearningNeverStops #JavaDeveloper
To view or add a comment, sign in
-
-
Master the Java String join() Method: A 2025 Guide with Examples & Best Practices Stop Fumbling with Strings: A No-BS Guide to Java's String.join() Let's be real. How many times have you written a clunky for-loop just to stick a bunch of strings together with a comma? You know, the classic dance: java List<String> list = Arrays.asList("Java", "Python", "JavaScript"); StringBuilder sb = new StringBuilder(); for (int i = 0; i < list.size(); i++) { sb.append(list.get(i)); if (i < list.size() - 1) { sb.append(", "); } } System.out.println(sb.toString()); // Output: Java, Python, JavaScript What if I told you there's a cleaner, more elegant, and frankly, more awesome way to do this? Enter the String.join() method. It’s one of those "why didn't they add this sooner?" features that makes your code instantly more readable and professional. In this deep dive, we're not just going to glance at the syntax. We're going to tear it apart, see it in action with real-world stuff, and discuss when to use it and when to maybe use something else. Let's get to it https://lnkd.in/ddSTAa7T
To view or add a comment, sign in
-
Master the Java String join() Method: A 2025 Guide with Examples & Best Practices Stop Fumbling with Strings: A No-BS Guide to Java's String.join() Let's be real. How many times have you written a clunky for-loop just to stick a bunch of strings together with a comma? You know, the classic dance: java List<String> list = Arrays.asList("Java", "Python", "JavaScript"); StringBuilder sb = new StringBuilder(); for (int i = 0; i < list.size(); i++) { sb.append(list.get(i)); if (i < list.size() - 1) { sb.append(", "); } } System.out.println(sb.toString()); // Output: Java, Python, JavaScript What if I told you there's a cleaner, more elegant, and frankly, more awesome way to do this? Enter the String.join() method. It’s one of those "why didn't they add this sooner?" features that makes your code instantly more readable and professional. In this deep dive, we're not just going to glance at the syntax. We're going to tear it apart, see it in action with real-world stuff, and discuss when to use it and when to maybe use something else. Let's get to it https://lnkd.in/ddSTAa7T
To view or add a comment, sign in
-
4 ways to shoot yourself in the foot with Java Map Recently I have participated a bunch of interviews and there are 4 from 10 interesting questions I have been asked. Most of devs thinks about a map as a dictionary. But Map is one of the easiest places to break the language contracts and silently produce bugs that will take hours to trace. Here are real cases how to break your Map 👇 1) Mutating a key after insertion Problem: Changing a key’s content after putting it into a HashMap changes its hashCode, so the Map can’t find it anymore. Takeaway: Keys must be effectively immutable. 2) Breaking equals/hashCode contract Problem: equals always returns true, but hashCode differs → Map stores multiple “equal” keys in different buckets. Takeaway: Always implement equals and hashCode consistently. 3) Reentrant computeIfAbsent Problem: Calling computeIfAbsent on the same key from within its mapping function throws ConcurrentModificationException. Takeaway: Mapping functions must not mutate the same Map recursively. 4) Hash collisions (HashDoS) Problem: Different strings can have the same hashCode (e.g., "Aa" and "BB"). Many collisions degrade lookup from O(1) to O(n). Takeaway: Collisions are real; high-quality hash distribution matters. Do not forget about hashCode String formula in Java: 31 * hash + char[i]
To view or add a comment, sign in
-
-
Level Up Your Java: A Deep Dive into Advanced Sorting Algorithms **Level Up Your Java: A No-BS Deep Dive into Advanced Sorting Alright, let's talk about sorting. You’ve probably been ** But what happens when you're in a technical interview and they ask you how it works? Or, more importantly, what happens when your application starts slowing to a crawl because you're trying to sort a dataset the size of a small country? That's where understanding advanced sorting algorithms comes in. It’s the difference between being a coder and being an engineer. This isn't just academic stuff; it's about writing efficient, scalable, and professional-grade software. So, grab your coffee, and let's break down the heavy-hitters of the sorting world. First Things First: Why Bother? Acing the Interview: Let's be real. Sorting algorithms are a staple in tech interviews. Knowing the "why" behind the choices is crucial. Handling Massive Data: Built-in methods are great, but sometimes you have unique constraints—like sorting data that's too large to fit into memory (exter https://lnkd.in/g-MzUsPz
To view or add a comment, sign in
-
Level Up Your Java: A Deep Dive into Advanced Sorting Algorithms **Level Up Your Java: A No-BS Deep Dive into Advanced Sorting Alright, let's talk about sorting. You’ve probably been ** But what happens when you're in a technical interview and they ask you how it works? Or, more importantly, what happens when your application starts slowing to a crawl because you're trying to sort a dataset the size of a small country? That's where understanding advanced sorting algorithms comes in. It’s the difference between being a coder and being an engineer. This isn't just academic stuff; it's about writing efficient, scalable, and professional-grade software. So, grab your coffee, and let's break down the heavy-hitters of the sorting world. First Things First: Why Bother? Acing the Interview: Let's be real. Sorting algorithms are a staple in tech interviews. Knowing the "why" behind the choices is crucial. Handling Massive Data: Built-in methods are great, but sometimes you have unique constraints—like sorting data that's too large to fit into memory (exter https://lnkd.in/g-MzUsPz
To view or add a comment, sign in
-
Polymorphism in Java is a key concept in object-oriented programming that allows one entity—such as a method, object, or operator—to take many forms and behave differently based on its context within the class hierarchy. What Is Polymorphism? The word "polymorphism" means "many forms .In Java, it lets you perform a single action in various ways depending on which object or class is involved, enabling reusable and flexible code. Types of Polymorphism in JavaCompile-Time Polymorphism (Static/Method Overloading): Multiple methods with the same name but different parameters within the same class. The method executed depends on the argument types and number at compile time .Runtime Polymorphism (Dynamic/Method Overriding): When a subclass provides its own version of a method defined in its superclass. The method that's called is determined at runtime, based on the object's actual class. Runtime Polymorphism: class Animal { public void sound() { System.out.println("Animal makes a sound"); } } class Dog extends Animal { @Override public void sound() { System.out.println("Dog barks"); } } public class Main { public static void main(String[] args) { Animal myAnimal = new Dog(); myAnimal.sound(); // Outputs "Dog barks" } } Compile time Polymorphism: class Calculator { public int add(int a, int b) { return a + b; } public double add(double a, double b) { return a + b; } } Calculator calc = new Calculator(); calc.add(5, 10); // Calls int version calc.add(5.5, 10.5); // Calls double version Why Is Polymorphism Useful? Promotes code reusability and cleaner code structure. Enables easy maintenance and flexibility, since new behaviors can be added with minimal changes to existing code #Polymorphism #OOP #CodeBetter
To view or add a comment, sign in
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development