tetrahedron and cube. Middle: regular octahedron. Bottom left to right: dodecahedron and icosahedron.
Posts Tagged ‘shape0mg’
Platonic solid – Wikipedia
December 23, 2025Understanding the Basic Reproduction Number (R0): The Key to Tracking Disease Spread
December 23, 2025https://www.gideononline.com/blogs/understanding-the-basic-reproduction-number-r0-the-key-to-tracking-disease-spread
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The basic reproduction number (R0) is a mathematical term that describes how contagious an infectious disease is.
It is the average number of new infections caused by one infectious person in a completely susceptible population. A completely
susceptible population is a hypothetical scenario where everyone could get infected, and no preventive measures are in place.
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Ronald Ross – Wikipedia
December 23, 2025Louis Bachelier – Wikipedia
December 23, 2025https://en.wikipedia.org/wiki/Louis_Bachelier
diffusion on the stock market
Neurons Found To Be Similar To U.S. Electoral College | ScienceDaily
December 7, 2025Stochastic gradient descent – Wikipedia
November 24, 2025https://en.wikipedia.org/wiki/Stochastic_gradient_descent
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Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e.g. differentiable or subdifferentiable). It can be regarded as a stochastic approximation of gradient descent
optimization, since it replaces the actual gradient (calculated from the entire data set) by an estimate thereof (calculated from a randomly selected subset of the data). Especially in high-dimensional optimization problems this reduces the very high computational burden, achieving faster iterations in exchange for a lower convergence rate.[1]
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SGD by selecting randomly just one pt.
Chinook (computer program) – Wikipedia
November 24, 2025Mean and geometry – Mathplanet
November 24, 2025In a Comically Drawn Pennsylvania District, the Voters Are Not Amused – The New York Times
November 24, 2025Polsby–Popper test – Wikipedia
November 24, 2025https://en.wikipedia.org/wiki/Polsby%E2%80%93Popper_test#cite_note-3 QT:{{”
The Polsby–Popper test is a mathematical compactness measure of a shape developed to quantify the degree of gerrymandering of political districts. The method was developed by lawyers Daniel D. Polsby and Robert Popper,[1] though it had earlier been introduced in the field of paleontology by E.P. Cox.[2]
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4*Pi*A/P^2
linkstream2 microblog 