|
You are here |
matthewearl.github.io | ||
| | | | |
reasonabledeviations.com
|
|
| | | | | Academic blog about quantitative finance, programming, maths. | |
| | | | |
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. | |
| | | | |
aneesh.mataroa.blog
|
|
| | | | | ||
| | | | |
unstableontology.com
|
|
| | | (note: some readers may find the LaTeX more readable on LessWrong.) In this post I prove a variant of Gödel's completeness theorem. My intention has been to really understand the theorem, so that I am not simply shuffling symbols around, but am actually understanding why it is true. I hope it is helpful for at... | ||