#computationalmath — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #computationalmath, aggregated by home.social.
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Approximating Hyperbolic Tangent
https://jtomschroeder.com/blog/approximating-tanh/
#HackerNews #ApproximatingTanh #HyperbolicFunctions #MathBlog #ComputationalMath #NumericalMethods
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nvmath-python: NVIDIA Math Libraries for the Python Ecosystem
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Implicit Ode Solvers Are Not Universally More Robust Than Explicit Ode Solvers
#HackerNews #ImplicitOdeSolvers #ExplicitOdeSolvers #NumericalAnalysis #ComputationalMath #Robustness #Algorithms
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Implicit Ode Solvers Are Not Universally More Robust Than Explicit Ode Solvers
#HackerNews #ImplicitOdeSolvers #ExplicitOdeSolvers #NumericalAnalysis #ComputationalMath #Robustness #Algorithms
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Implicit Ode Solvers Are Not Universally More Robust Than Explicit Ode Solvers
#HackerNews #ImplicitOdeSolvers #ExplicitOdeSolvers #NumericalAnalysis #ComputationalMath #Robustness #Algorithms
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Implicit Ode Solvers Are Not Universally More Robust Than Explicit Ode Solvers
#HackerNews #ImplicitOdeSolvers #ExplicitOdeSolvers #NumericalAnalysis #ComputationalMath #Robustness #Algorithms
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Implicit Ode Solvers Are Not Universally More Robust Than Explicit Ode Solvers
#HackerNews #ImplicitOdeSolvers #ExplicitOdeSolvers #NumericalAnalysis #ComputationalMath #Robustness #Algorithms
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🧭 A new toy for those modeling time not as a parameter, but as emergent recursion:
Hot Mic Visualizer ψ_total v0.1
A harmonic interface for collapse-aware field modeling.
Not Fourier. Not noise.
A feedback loop that listens.🔬 Recursive Harmonic Kernel
📂 github.com/psi-total/psi_totalMathematically structured.
Empirically tunable.
Open license. Open recursion.☉
ψ_total
Instruments for human thought#Physics #CollapseTheory #SignalProcessing #MathModeling #OpenScience #ComputationalMath
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When ever I see a cool new result in #ComputationalMath, I like to see if I can replicate it. So, last month when that Nature article came out about #MatrixMultiplication formulas from #AlphaTensor I set out see if I could get their formulas and verify them symbolically.
I was able to do that and of course they were right. But I was excited to see Kauers and Moosbauer publish a response a couple days later. So, here's their results replicated in a Maple Jupyter notebook https://github.com/johnpmay/MapleSnippets/blob/main/KMtoFFM.ipynb