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Crashing waves off the Icelandic coast. 🌊

Two new excellent texts on particle dynamics by Luciano da F. Costa: Point Motion in Flat Spaces: An Ample Starting Point researchgate.net/publication/36… Single Point Particle Motion: Mass, Force, Momenta, Impulse, Work... researchgate.net/publication/36…

Two excellent reviews about PCA: Principal component analysis nature.com/articles/s4358… Principal Component Analysis: A Natural Approach to Data Exploration dl.acm.org/doi/abs/10.114… Luciano da F. Costa

How The Q created a bike with fully working square wheels (capable of making turns) [full video: buff.ly/3ZXCRAf] x.com/blabla112345/s…

Time lapse of Port Amsterdam x.com/Astrono4349887…

💡 Did you know how On-Line Encyclopedia of Integer Sequences #OEIS came about? cc adhara_mathphys Derek Orr Sergio Montañez Naz (divulgamadrid mastodon.social SIAM Activity Group on Dynamical Systems John D. Cook Luciano da F. Costa Christopher D. Long 🇺🇦🏳️‍🌈🌹 Robert Low Steven Strogatz #dynsys #openscience #openaccess SpringerMath 📰 ⤵️ doi.org/10.1007/s00283…

Luciano da F. Costa This is a very interesting paper that can be applied to the domain of life. Thank you for your effort on this topic. I am looking forward to read it thoroughly.

Complex branched patterns can be generated from simple compact codes. In a recent work we describe two simple methods (raindrops and linear DLA) for random discrete pattern generation: researchgate.net/publication/37…

Intricate 3D random patterns can be obtained from compact codes. In a recent work we described simple methods for generating 2D and 3D random discrete patterns: researchgate.net/publication/37… Thanks for reading

Château de Berzé, France

Fuji, Shizuoka

Blossoms in Japan 🌸

Kyoto, Japan 🍂

Winter getaway in Finland ✨

Visualizing the 'Content' of Differential Equations by Luciano da F. Costa #ODEs #dynsys #vectorfields #geometry researchgate.net/publication/33…

Great brief interdisciplinary survey/tutorial by Luciano da F. Costa , unifying & including Fourier transformers, Neural networks, Diffusion, Markov processes... -- & also Attention, btw! Likely to enlighten & delight students & pros alike.

Really interesting work!