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Learn how to solve the Minimum Cost Pizza Selection problem using Dynamic Programming. Given the area and cost of Small, Medium, and Large pizzas, the goal is to find the minimum cost required to achieve a total area of at least x. This article explains the DP approach, state definition, transition, handling of area greater than x, dry run, Java implementation, and complexity analysis.
Find the maximum product that can be obtained by selecting exactly k elements from an integer array. The solution uses dynamic programming by maintaining both the maximum and minimum products for each subsequence size. Keeping both values is important because multiplying two negative numbers can produce a positive maximum product. The approach correctly handles positive numbers, negative numbers, zero, odd and even values of k, and all-negative arrays.
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