This week, the first ever cohort of students started in our two new master programs #ComputationalScience and ”Applied computational Science” at #LundUniversity. Students come in with a Bachelor in a natural science and proceed to take advanced courses in it. However, they also learn physics based modelling with differential equations and #numerics, statistical modelling with #Monte-Carlo-Methods, and data based modelling with #machinelearning. 1/
#machinelearning #monte #numerics #LundUniversity #computationalscience
A somewhat belated #Introduction post.
I'm a numerical relativist at the University of Southampton, UK, in the Gravity section of our Applied Maths group.
I'm interested in nonlinear simulations of relativistic matter, neutron stars, gravitational waves, and the linked maths and physics issues of what "good enough" means for numerical calculations of complex behaviour.
#GravitationalWaves #GeneralRelativity #NeutronStars #Numerics
#numerics #neutronstars #generalrelativity #gravitationalwaves #introduction
That looks like an interesting DFT application case 🤔
https://aip.scitation.org/doi/10.1063/5.0133207?af=R
#Simulation #Numerics #MaterialScience #Magnetism #ChemicalPhysics
#chemicalphysics #magnetism #materialscience #numerics #simulation
PyData Tel Aviv #conference talk: Raymond Hettinger talks about making numeric functions faster and more accurate in #Python 3.10. (50 minutes)
The talk discusses the implementation of the math module's fsum(), comb(), and hypot() functions. You have no idea what the hidden complexities are in implementing these!
#mathematics #numerics #Python #conference
A rather instructive model of #magma chamber replenishment 🤔
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JB025316?af=R
#simulation #numerics #volcanology #geoscience
#geoscience #volcanology #numerics #simulation #magma
Having fun with Makie.jl and Ferrite.jl in FerriteViz.jl. My colleague Dennis and me added support for gradient/flux visualization based on a known finite element field: https://github.com/Ferrite-FEM/FerriteViz.jl/pull/51
We started FerriteViz for teaching purposes and this PR adds very nice possibilities to it. With this PR, instabilities in mixed forms or singularities in the fluxes can be visualized. 🎉
@julialang #julialang #Makie.jl #finiteelements #fea #numerics
#numerics #fea #finiteelements #makie #julialang
Any special function specialists around here? Are there good numerical methods to evaluate bivariate (hyper2d) hypergeometric functions/Kampé de Fériet functions besides evaluating the inner hypergeometric function and summing up? #numerics #numericalmethods #specialfunctions
#specialfunctions #numericalmethods #numerics
My computational F# framework for mineralogical thermodynamics now runs on .NET 7.0 🎉
https://chust.org/repos/eos/
#fsharp #geoscience #simulation #numerics
#numerics #simulation #geoscience #fsharp
@andrasbacsai currently learning #clojure from a book. I really have to get back to my ia project and push it forward. It's an Interval Analysis library written in #Logtalk with Logtalk's creator, Paulo Moura. I have a few more projects that are equally inactive and have to get back to, like my \(APL \in BCN\) presentations...
Anyhow: https://github.com/mlliarm/ia and https://logtalk.org/
#topology #math #intervals #ia #numerics #prolog #Logtalk #clojure
Let's give Mastodon STEM a try! What #aerospace topics are people interested in? I could tell a bit about the following things:
#cfd #numerics
Alright folks, this is my first toot! Anyone here interested in fluid mechanics, numerical simulation (CFD) and combustion? I'd be happy to connect! #fluid #cfd #numerics #combustion
#fluid #cfd #numerics #combustion
#academia For all people interested in #numerics , especially #mechanics . You can sign up for the Imperial College seminar "Materials Engineering & Mechanics"
https://twitter.com/MechMaterials/status/1519308823089004546
#mechanics #numerics #academia
RT @ManjaroLinux
You're now not restricted to #numerics anymore on #phosh via @ManjaroLinuxARM on a #pinephone...
Finally the most sophisticated of the three is Simpson’s rule in which pairs of adjacent strips use a #quadratic #parabola to interpolate between the ordinates. This even better at convergence than the trapezium rule. I’ve shown a different function here because for the function shown above the difference between the approximation and the numerical #approximation is not discernible.
#MyWork #Mathematics #Maths #Numerics #SimpsonsRule #FreeSoftware #CCBYSA #Wikipedia #Wikimedia
#Quadratic #parabola #approximation #mywork #mathematics #maths #numerics #simpsonsrule #freesoftware #ccbysa #wikipedia #wikimedia
The trapezium rule is quite an improvement to the above and each area is approximated by joining up the ordinates at the beginning and end of each discrete interval with a straight line. This converges appreciably faster than the above method.
#MyWork #Mathematics #Maths #Numerics #RectangleMethod #TrapeziumRule #SimpsonsRule #FreeSoftware #CCBYSA #Wikipedia #Wikimedia
#mywork #mathematics #maths #numerics #rectanglemethod #trapeziumrule #simpsonsrule #freesoftware #ccbysa #wikipedia #wikimedia
The rectangle method is the most simple-minded and crudest method of finding the area below the curve. It converges slowly.
#MyWork #Mathematics #Maths #Numerics #RectangleMethod #TrapeziumRule #SimpsonsRule #FreeSoftware #CCBYSA #Wikipedia #Wikimedia
#mywork #mathematics #maths #numerics #rectanglemethod #trapeziumrule #simpsonsrule #freesoftware #ccbysa #wikipedia #wikimedia
Getting started with #Maxima in #Fedora #Linux - Fedora Magazine
https://fedoramagazine.org/getting-started-with-maxima-in-fedora-linux/
#maxima #fedora #linux #gnu #mathematics #symboliccomputation #numerics