Saurav Kumarblog.sauraverse.com·Dec 14, 2024Building Dynamic React Forms: A Step-by-Step GuideDynamic forms are a powerful feature in web applications, enabling developers to create user interfaces that adapt to users' input and conditions. React, a popular JavaScript library, simplifies building such forms with its component-based architectu...Dynamic Programming
Lucas Guzzoblog.lucasguzzo.dev·Dec 3, 2024Exact Algorithms for the Traveling Salesman Problem: Finding Optimal SolutionsTL;DR This post explores exact algorithms for solving the Traveling Salesman Problem (TSP), including brute force, dynamic programming (Held-Karp), and branch-and-bound. These methods guarantee the shortest path but come with varying levels of comput...The Traveling Salesman Problem: A Deep Dive on Optimization Algorithmsbranch and bound
Anuj Kumar Upadhyayanuj1.hashnode.dev·Dec 3, 2024Algorithms List For FAANGMHere is a categorized list of algorithms and techniques that are essential for cracking interviews at FAANGM (Facebook/Meta, Amazon, Apple, Netflix, Google, Microsoft) companies. These algorithms are grouped based on data structures and problem types...10 likesAlgorithmsfaangm
Michael Strombergmjstromberg.hashnode.dev·Nov 23, 2024Solving the “Longest Increasing Subsequence” Problem in JavaScriptPhoto by Thomas Serer on Unsplash Tackling algorithmic challenges is a crucial part of coding interviews, particularly for software engineering roles at top tech companies such as Google, Meta, and Amazon. Although these problems may not represent th...AlgorithmsJavaScript
Nikhil Ramtekegit-command.hashnode.dev·Nov 12, 2024Chapter 1: Embarking on Your DSA Journey with JavaWelcome to the first chapter of our deep dive into Data Structures and Algorithms (DSA) using Java. In this series, we'll cover a wide range of fundamental and advanced DSA concepts, essential for acing technical interviews at top tech companies like...advancedsa
Rohit Gawanderohit253.hashnode.dev·Nov 9, 2024Chapter 46: Dynamic Programming (Part 6) - DSA SeriesWelcome to Chapter 46 of my Data Structures and Algorithms (DSA) Series! In this chapter, we dive into essential dynamic programming concepts focused on matrix operations and complex problem-solving techniques. Dynamic programming is all about breaki...tabulation
Rohit Gawanderohit253.hashnode.dev·Nov 9, 2024Title: Chapter 45: Dynamic Programming (Part 5) – Wildcard Matching, Catalan's Number, Counting BSTs, and Mountain RangesIntroduction Welcome to Part 5 of the Dynamic Programming series! In this chapter, we'll tackle challenging problems that involve pattern matching, combinatorics, and counting structures. Topics include: Wildcard Matching (explanation and code) Cat...DSA(Data Structure and Algorithm) In JAVAcatalan
Rohit Gawanderohit253.hashnode.dev·Oct 25, 2024Chapter 41: Dynamic Programming (Part 2)Introduction In this chapter, we dive deeper into Dynamic Programming, focusing on several classic problems and strategies associated with Knapsack-type problems. These problems, widely known for their use of recursion, memoization, and tabulation, h...DSA(Data Structure and Algorithm) In JAVADSA
Rohit Gawanderohit253.hashnode.dev·Oct 16, 2024Chapter 40: Dynamic Programming (Part 1)Introduction to Chapter : Dynamic Programming (DP) is a powerful technique for solving problems that involve overlapping subproblems and optimal substructure. It allows us to optimize recursive solutions by storing results of subproblems, preventing ...33 readsDSA(Data Structure and Algorithm) In JAVADynamic Programming
Sanam Palsuledynamic-programming101.hashnode.dev·Oct 15, 2024Pattern 1 : Fibbonacci like DPThis pattern is used where each decision depends on 1 or 2 previous states, just like Fibonacci sequence! Climbing Stairs: Leetcode Link You can either climb 1 step or 2 steps at a time. Find how many distinct ways you can reach the top of a staircas...10 likes·27 readsDynamic Programming
