<ul><li>Dynamic programming (DP) is an algorithmic technique that involves breaking down a complex problem into smaller sub-problems and finding optimal solutions.</li><li>The foundation of DP is trust, where sub-problems trust the solutions of the smaller sub-problems that make up the larger problem.</li><li>An example of DP is constructing a large perfect square by joining smaller squares, relying on the optimality of the smaller squares.</li><li>In the Fibonacci sequence, each number relies on the optimal solutions of the two previous numbers.</li></ul>

Dynamic Programming — An introduction

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