/explore
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www.oranlooney.com | ||
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lukesingham.com
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| | | | | Grokking Algorithms is a beautifully formatted book that explains complex material simply using pictures, analogies and high level practical explanations. This post is a review and summary of the Grokking Algorithms book. | |
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bayesianneuron.com
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| | | | | [AI summary] The user has shared a detailed exploration of optimizing the 0/1 Knapsack problem using dynamic programming with Python and NumPy. They discuss various optimization techniques, including reducing memory usage with a 2-row approach, vectorization using NumPy's `np.where` for faster computation, and the performance improvements achieved. The final implementation shows significant speedups, especially for large-scale problems, and the user highlights the importance of vectorization and efficient memory management in computational tasks. | |
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qsantos.fr
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www.forwardscattering.org
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| | | [AI summary] Nicholas Chapman proves that it is decidable to find the fastest Turing machine for computing functions defined on a finite domain by limiting the search space to machines with a finite number of states based on a reference solution's runtime. | ||
