Tag Archives: Math

Slide Rule – the analog computer explained

I guess those of you younger than 50 don’t even know what a slide rule is… 🙂 Briefly: slide rules were the palm computers of the day for us 60+, until Casio, HP and other came out with the first … Continue reading

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Zero Knowledge proof presented at 5 different levels

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Navier-Stokes equation: Four mathematicians demonstrate it is impossible to predict where 29.000 rubber ducks in the sea will wash up | USA | EL PAÍS in English

Spanish research has provided insight into the Navier-Stokes equations governing the behavior of fluids — Read on english.elpais.com/usa/2021-05-12/four-mathematicians-demonstrate-it-is-impossible-to-predict-where-rubber-ducks-in-the-sea-will-wash-up.html

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Fractal Dimensions – A brilliant tutorial

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Sailors Ahoy ! – Rope around a bollard – Capstan Equation

Ever tried to hold a rope that is pulled by someone or something, like a sail, a boat or a hanging weight…? If holding a pulling rope is something you’ve done a lot, you’ve surely soon figured out that if … Continue reading

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Bayes rule illustrated by a table

I just found this excellent illustration of Bayes Rule, in a book “Bayes’ Rule with Python, by James V. Stone, and thought I’d share it here, as a follow-up to earlier posts on Bayes rule, e.g. this one. Assume we … Continue reading

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Bayes Rule for Poets and other Mathematical Virgins* :-)

[ * The title alludes to a book titled “Higher Mathematics for Poets & other Mathematical Virgins” by Tönis Tönisson, a book that for many many moons ago got me to appreciate mathematics in depth] If you are anything like … Continue reading

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Understanding Exponential Growth

  Nobel Laureate Professor Michael Levitt explains exponential growth in context of the Corona pandemic.  

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CORONA – Brilliant illustration of what exponetial growth means

Absolutely brilliant explanation of what exponential growth is and implies, furthermore in context of the Corona Virus that I’ve been rambling about lately.

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Calculating distance from Lat & Lon coordinates using Python & Pandas

Given a GPS log file structured as follows (column separators omitted for clarity): Speed Latitud Longitud Time 2019-01-07 06:15:27 0 59.649582 17.721365 2019-01-07 06:16:28 0 59.649583 17.721372 2019-01-07 06:17:28 0 59.649583 17.721370 2019-01-07 06:18:28 0 59.649583 17.721372 2019-01-07 06:19:29 0 … Continue reading

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