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rjlipton.com | ||
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nickhar.wordpress.com
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| | | | | 1. Low-rank approximation of matrices Let $latex {A}&fg=000000$ be an arbitrary $latex {n \times m}&fg=000000$ matrix. We assume $latex {n \leq m}&fg=000000$. We consider the problem of approximating $latex {A}&fg=000000$ by a low-rank matrix. For example, we could seek to find a rank $latex {s}&fg=000000$ matrix $latex {B}&fg=000000$ minimizing $latex { \lVert A - B... | |
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erikbern.com
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| | | | | I made a New Year's resolution: every plot I make during 2018 will contain uncertainty estimates. Nine months in and I have learned a lot, so I put together a summary of some of the most useful methods. | |
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weisser-zwerg.dev
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| | | | | A series about Monte Carlo methods and generating samples from probability distributions. | |
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cprimozic.net
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| | | I've been working on building 3D scenes and environments in the browser using Three.JS. As part of those, I make pretty heavy use of the pmndrs postprocessing library for post-processing and effects. I've also implemented a custom godrays effect that works with postprocesing called three-good-godrays. It creates a custom pass that is added to the postprocessing EffectComposer which renders volumetric screen-space godrays by reading the depth buffer and shadow map for a light. | ||
