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| | weisser-zwerg.dev
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| | A series about Monte Carlo methods and generating samples from probability distributions.
| | rjlipton.com
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| | Can the permanent of stable negative matrices be approximated? Eric Vigoda is one of the top experts in the world in the area of Markov Chain Monte Carlo methods. He shared the prestigious Fulkerson Prize with Mark Jerrum and Alistair Sinclair for their brilliant work (JSV) on approximations to the permanent. Today I would like...
| | isaacslavitt.com
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| | [AI summary] The article discusses the German Tank Problem, a statistical estimation challenge where the goal is to infer the total number of tanks based on observed serial numbers, using Bayesian methods and MCMC libraries like Sampyl, PyMC3, and PyStan.
| | wickedengine.net
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| [AI summary] This article discusses the implementation of voxel-based global illumination (VXGI) techniques, including voxel cone tracing, conservative rasterization, and optimization strategies. It covers challenges like handling extra voxels, normal compression, and the use of interlocked max for updating voxel data. The article also addresses questions about global illumination in indoor scenes, the role of light probes, and the limitations of image-based lighting. Additionally, it touches on the integration of VXGI with shadow mapping and the importance of optimization for performance on various hardware. The discussion includes insights from readers and practical considerations for implementing these techniques in game engines.