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Dynamic Programming
I want to learn dynamic programming for usage in programming interviews.
Course Curriculum
Section 1. Dynamic Programming
Introduction to Dynamic Programming
Dynamic Programming is a powerful technique used to solve complex problems efficiently. It is an algorithmic paradigm that breaks down a problem into smaller overlapping subproblems and stores the solutions of these subproblems to avoid redundant computations. The key concept behind dynamic programming is *...
Fibonacci Sequence using Dynamic Programming
Welcome to the world of dynamic programming! In this lesson, we will explore the concept of dynamic programming and its significance in programming interviews. Dynamic programming is a powerful technique used to solve complex problems by breaking them down into simpler subproblems and solving each subproblem only once. It employs a bottom-up appr...
Longest Common Subsequence
Welcome to the Introduction of the Longest Common Subsequence problem! In this lesson, we will dive into the Longest Common Subsequence problem, its significance, and applications. The Longest Common Subsequence problem is a classic problem in computer science and has various real-world applications. The Longest Common Subsequen...
Knapsack Problem
Introduction to Knapsack Problem The knapsack problem is a classic optimization problem in computer science and mathematics. It involves maximizing the value of items that can be packed into a knapsack given its weight capacity. In other words, we want to select the most valuable items while staying within the weight limit of the knapsack. 
Edit Distance
Introduction to Edit Distance Edit distance is a concept in string manipulation that measures the similarity between two strings. It calculates the minimum number of operations required to transform one string into another. These operations include: Insertion: Adding a character to a string Deletion: Removing a character from a st...