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lukesingham.com
| | henrikwarne.com

I recently finished the Coursera course Algorithms: Design and Analysis, Part 2 by Professor Tim Roughgarden of Stanford.I've already reviewed part 1, and here are my thoughts on the second part. The main theme of part 1 was the divide and conquer paradigm. In the second part the main themes were greedy algorithms, dynamic programming...
2.1 parsecs

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| | www.integralist.co.uk


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| | bayesianneuron.com

[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.
3.6 parsecs

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| | simpleprogrammer.com

A career as a developer can be exciting, creative, and lucrative. Let's do a deep dive into the topic of Software Development and see if it's right for you. Types of Software Developers The main distinction is between two types of Software Developers - Applications and Systems Developers. Applications Software Developer An Applications Software Developer [...]
12.4 parsecs

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