Explores solving the LeetCode 'Best Time to Buy and Sell Stock IV' problem using multidimensional dynamic programming in both Rust and Haskell. The problem involves maximizing profit from stock transactions with constraints on simultaneous holdings. The solution uses a 2D grid where dimensions represent transaction states and days, with Rust implementing a full grid approach while Haskell optimizes memory by maintaining only necessary rows. Demonstrates how functional programming patterns in Haskell can achieve the same algorithmic results with different implementation strategies compared to imperative approaches.
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