5 Steps to N-body Simulation in Python.

Link: https://alvinng4.github.io/grav_sim/5_steps_to_n_body_simulation/

#CompMath #simulation #math #compsci #numerical

Number&Symbols2

#NaPoWriMo #NaPoGenMo #distortion #numerical

Coded #Python

BlogPost, Code and More Images:
https://blog.illestpreacha.com/napowrimogenmo2025numericpoems

#creativecoding #poetry #poem #NaPoWriMo2025 #NapoGenMo2025 #NapoWrimo23

#numerical : belonging to number

- French: numérique

- German: zahlenmäßig

- Italian: numerico

- Portuguese: numérico

- Spanish: numérico

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See previous words @ https://wordofthehour.org/r/past

Escalation Of Caldera Unrest Indicated By Increasing Emission Of Isotopically Light Sulfur
--
https://doi.org/10.1038/s41561-024-01632-w <-- shared paper
--
#GIS #spatial #mapping #geology #structuralgeology #volcano #vulcanism #caldera #numerical #model #modeling #eruption #risk #hazard #seismicity #deformation #gases #engineeringgeology #physicochemical #monitoring #CampiFlegrei #Italy #sulfur #fumaroles #hydrothermal #magma #dataanalysis #global

Matti #Kujasalo – Painting, 17.10.2017, 2017

#abstract #art #numerical

NumericalxGlitches

Coded with #p5js
@processing
Aided with #glitchlab

#creativecoding #coding #glitchart
#newmedia #abstract #scifi #numerical

Numerical%%Glitches

Coded with #p5js @processing
Aided with #glitchlab

#creativecoding #coding #glitchart
#newmedia #abstract #scifi #numerical

Numerical+Glitches

Coded with #p5js @processing
Aided with #glitchlab

#creativecoding #coding #glitchart
#newmedia #abstract #scifi #numerical

Some time ago, we looked into #numerical #integration (Gauss Lobatto) methods that allow one to do flexible #survival analysis with Generalized Additive/Linear Models instead of the Cox model #rstats #stats

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0123784

I compare in a big data project of ours

Some time ago, we looked into #numerical #integration (Gauss Lobatto) methods that allow one to do flexible #survival analysis with Generalized Additive/Linear Models instead of the Cox model #rstats #stats

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0123784

I compare in a big data project of ours

Some time ago, we looked into #numerical #integration (Gauss Lobatto) methods that allow one to do flexible #survival analysis with Generalized Additive/Linear Models instead of the Cox model #rstats #stats journals.plos.org/plosone/arti... Here is a comparison in a big data project of ours

Some time ago, we looked into #numerical #integration (Gauss Lobatto) methods that allow one to do flexible #survival analysis with Generalized Additive/Linear Models instead of the Cox model #rstats #stats

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0123784

I compare in a big data project of ours

Today’s rankings of all Julia books on Amazon:

https://lee-phillips.org/amazonJuliaBookRanks/

#julialang #scicomm #physics #numerical

Deep Learning with Jax
https://www.manning.com/books/deep-learning-with-jax
#ycombinator #neural_networks #Python #Google #Flax #Haiku #gradient_processing #optimization #numerical #computations #federated_learning #parallelized #distributed #primitives #differentiable

I've been working with C++ numerical/scientific software for over 10 years, and one of my biggest grief is mishandling of numerical conversions. The https://en.cppreference.com/w/cpp/language/implicit_conversion rules are confusing at best, and have undefined outcomes in too many cases. And the fact that static_cast will simply hush compiler warnings is both misleading and dangerous. Lastly, the std functions are an inconsistently named mess: round has lround, but not ceil, floor or trunc. Then there's the 27 easy flavours of rint and nearbyint that are almost the same except exceptions.

There have been some improvements recently though.

The cpp core guidelines have a gsl narrow that throws a catchable exception. However that's a very limited and limiting use case. Then there's gsl narrow_cast which is nothing more than a FIXME ("you asked for it," as they say).

C++26 is finally introducing https://en.cppreference.com/w/cpp/numeric/saturate_cast to convert between integer types without implicit truncation (or undefined behaviour).

I hope the C++ standards committee acknowledges and addresses this issue in a clean consistent way once and for all.

#cpp #cplusplus #numerical #software #softwaredevelopment

Watershed Delineation On A Hexagonal Mesh Grid
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https://doi.org/10.1016/j.envsoft.2020.104702 <-- shared paper
--
#GIS #spatial #mapping #model #modeling #Hydrology #Hexagon #WatershedDelineation #DigitalGlobalGridSystem #DGS #watershed #water #delineation #scaling #discretization #discretisation #simulations #numerical #adjacency #d8 #HexWatershed #watersheds #catchments #drainageareas

'Stable Implementation of Probabilistic ODE Solvers', by Nicholas Krämer, Philipp Hennig.

http://jmlr.org/papers/v25/20-1423.html

#numerical #solvers #odes

What Number Are You Eating?

Link to Game / Experience https://illestpreacha.itch.io/what-number-are-you-eating

Blogpost for More information:https://blog.illestpreacha.com/gamedeveattherich

I decided to make a game where the term Rich would be represented by numbers. Similar to what I did for the 18th day of #NaPoGenMo/ #NaPoWriMo 2024, Where "Numerical Intentions" is coded in p5js and uses numbers

This time, I decided to do something similar but in Twine. "What Number Are You Eating" follows a cyclical poetic journey that has the user feed their hunger by what number they believe can currently satisfy them. The true value of the number is only determined after the user chooses the richness of what they desire to consume. After this occurs, poetic prompts are introduced to impact what the user may "eat'' next.

#interactivefiction #amaze #eattherich #numerical #gamedev #gamejam #visualpoem #creativecoding #creativecodeart #writerscommunity

In #quantum field theory, #Feynman integrals are an essential tool to compute numerical predictions, such as scattering probabilities, from an underlying theory. The Feynman periods are a particular class of Feynman integrals that represent a certain aspect of the dependence of a theory on the energy scale.
Generally, there are infinitely many Feynman integrals, and it is impossible to solve them all. This is problematic because there is little understanding of how important the left out ones might be. At least for periods, we have come a lot closer to understanding their distribution. After computing millions of periods, we obtain histograms like this for their relative size. We see that almost all of the Feynman periods have a value relatively close to the mean, but there are a few extreme outliers that contribute more than 10-fold. In fact, the distribution close to the mean looks smooth and nice. Quantifying the influence of outliers is crucial for future #numerical calculations of scattering amplitudes. It will be increasingly important to identify the most relevant integrals beforehand instead of solving thousands of integrals that are almost equal.
The plot shows a histogram of 750000 periods at 13-loop order, where values are scaled to unit mean. Figures from JHEP 11 2023 160 https://doi.org/10.1007/JHEP11(2023)160

New post: Equality of Floating-Point Numbers #numerical #programming #math https://janmr.com/blog/2023/12/equality-of-numbers/