What Is Dynamic Programming | Dynamic Programming Explained | Programming For Beginners| Intellipaat
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In this video, we'll explore the concept of Dynamic Programming - a popular algorithmic technique used in computer science and engineering to solve complex optimization problems.
Dynamic Programming involves breaking down a complex problem into smaller subproblems, solving each subproblem only once, and then storing the solution to that subproblem in memory so that it can be used to solve other subproblems that depend on it. This allows for a more efficient and faster way of solving complex problems, as it avoids solving the same subproblem multiple times.
We'll cover the key concepts behind Dynamic Programming, such as overlapping subproblems, optimal substructure, and memoization. We'll also go through a few examples to illustrate how Dynamic Programming can be used to solve problems like the Fibonacci sequence, the Knapsack problem, and more.
Whether you're a student studying computer science or an experienced programmer looking to expand your knowledge, this video will provide a solid introduction to the fundamental concepts of Dynamic Programming. So, join us as we dive into the world of Dynamic Programming and explore the power of this popular algorithmic technique.
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