# Specific Domains

**URL:** https://discourse.julialang.org/c/domain/10.md?no_subcategories=false&page=10

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**Page:** 11

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## [Performance of Pigeons.jl's AutoMALA on correlated targets](https://discourse.julialang.org/t/performance-of-pigeons-jls-automala-on-correlated-targets/135976)

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**Author:** [@ysfoo](https://discourse.julialang.org/u/ysfoo)\
**Replies:** 1\
**Last updated:** [March 3, 2026, 8:13pm UTC](https://discourse.julialang.org/t/performance-of-pigeons-jls-automala-on-correlated-targets/135976 "2026-03-03T20:13:27Z")

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I’ve seen Pigeons.jl advocated a few times here as a promising tool for parallel tempering. The package makes use of AutoMALA as a general-purpose sampler, instead of the popular NUTS sampler. The AutoMALA paper claims t…

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## [How to ensure reproducibility when using CUDA.rand()?](https://discourse.julialang.org/t/how-to-ensure-reproducibility-when-using-cuda-rand/135987)

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**Author:** [@WG-ZHENG](https://discourse.julialang.org/u/WG-ZHENG)\
**Replies:** 3\
**Last updated:** [March 3, 2026, 9:19am UTC](https://discourse.julialang.org/t/how-to-ensure-reproducibility-when-using-cuda-rand/135987 "2026-03-03T09:19:32Z")

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It seems that it is not supported to pass a specified rng as argument to rand in CUDA.jl. The codes below raise an error: using CUDA rng = CUDA.RNG(42) a = CUDA.rand(rng, 1) ERROR: MethodError: no method matching rand…

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## [How to plot a unfilled histogram (stairs) in Makie?](https://discourse.julialang.org/t/how-to-plot-a-unfilled-histogram-stairs-in-makie/135977)

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**Author:** [@Abhro](https://discourse.julialang.org/u/Abhro)\
**Replies:** 1\
**Last updated:** [March 3, 2026, 3:28am UTC](https://discourse.julialang.org/t/how-to-plot-a-unfilled-histogram-stairs-in-makie/135977 "2026-03-03T03:28:16Z")

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If I have a pre-fiitted histogram, how would I plot an unfilled histogram with Makie.jl? I can use hist and stephist for the raw data, but I’m not sure what to do about a Histogram object from StatsBase.jl Example: usi…

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## [What is the canon way to randomly draw one (or more) parameter sets from a sampled distribution?](https://discourse.julialang.org/t/what-is-the-canon-way-to-randomly-draw-one-or-more-parameter-sets-from-a-sampled-distribution/135935)

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**Author:** [@Torkel](https://discourse.julialang.org/u/Torkel)\
**Replies:** 11\
**Last updated:** [March 2, 2026, 5:48pm UTC](https://discourse.julialang.org/t/what-is-the-canon-way-to-randomly-draw-one-or-more-parameter-sets-from-a-sampled-distribution/135935 "2026-03-02T17:48:15Z")

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Using turing I have done n\_steps = 1000 n\_chains = 4 chain = sample(model, NUTS(), MCMCThreads(), n\_steps, n\_chains) I can plot the output using plot(chain) However, if I want to draw a random parameter set to do …

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## [Best practices for testing numerical results that are unstable across package versions](https://discourse.julialang.org/t/best-practices-for-testing-numerical-results-that-are-unstable-across-package-versions/135847)

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**Author:** [@jakobjpeters](https://discourse.julialang.org/u/jakobjpeters)\
**Replies:** 30\
**Last updated:** [March 2, 2026, 12:37pm UTC](https://discourse.julialang.org/t/best-practices-for-testing-numerical-results-that-are-unstable-across-package-versions/135847 "2026-03-02T12:37:47Z")

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My team is using OrdinaryDiffEq.jl and several other numerical packages, where we are testing a variety of solver results to be within some tolerance. On multiple occasions, some of these tests have begun to fail after u…

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## [Why does transform default to ungroup=true?](https://discourse.julialang.org/t/why-does-transform-default-to-ungroup-true/92544)

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**Author:** [@jar1](https://discourse.julialang.org/u/jar1)\
**Replies:** 2\
**Last updated:** [March 2, 2026, 10:54am UTC](https://discourse.julialang.org/t/why-does-transform-default-to-ungroup-true/92544 "2026-03-02T10:54:07Z")

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In DataFrames, why does transform default to ungroup=true?

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## [Finding mutations that Zygote complains about](https://discourse.julialang.org/t/finding-mutations-that-zygote-complains-about/135864)

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**Author:** [@Neodym](https://discourse.julialang.org/u/Neodym)\
**Replies:** 19\
**Last updated:** [March 1, 2026, 6:47pm UTC](https://discourse.julialang.org/t/finding-mutations-that-zygote-complains-about/135864 "2026-03-01T18:47:53Z")

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Hey, Apparently, I have some hidden mutations in my code that I cannot find. Unfortunately, Zygote easily finds them and complains about it. I get call stacks 40+ layers deep, the last of my own functions being near th…

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## [Has the nested\_nlsolve\_kwargs keyword been removed from the SciML FIRK BVP solvers?](https://discourse.julialang.org/t/has-the-nested-nlsolve-kwargs-keyword-been-removed-from-the-sciml-firk-bvp-solvers/135934)

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**Author:** [@ThermionicsGuy](https://discourse.julialang.org/u/ThermionicsGuy)\
**Replies:** 3\
**Last updated:** [March 1, 2026, 5:41pm UTC](https://discourse.julialang.org/t/has-the-nested-nlsolve-kwargs-keyword-been-removed-from-the-sciml-firk-bvp-solvers/135934 "2026-03-01T17:41:44Z")

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I want to control the tolerances and choice of nonlinear solution algorithm in the nested solver for the RaduaIIa5 boundary value problem solver. The documentation I can find says to use the nested\_nlsolve\_kwargs keyword…

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## [Memory Scratch Allocation Strategy Recommendations](https://discourse.julialang.org/t/memory-scratch-allocation-strategy-recommendations/135921)

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**Author:** [@termi-official](https://discourse.julialang.org/u/termi-official)\
**Replies:** 1\
**Last updated:** [February 28, 2026, 7:16pm UTC](https://discourse.julialang.org/t/memory-scratch-allocation-strategy-recommendations/135921 "2026-02-28T19:16:02Z")

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I have some small GPU program (finite element assembly of a heat problem) which I have written using a combination of CUDA and KernelAbstractions. The main kernel will be called repeatedly, so I want to preallocate the n…

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## [Update to https://github.com/sterglee/JuliaDeepLearningFluxExamples project](https://discourse.julialang.org/t/update-to-https-github-com-sterglee-juliadeeplearningfluxexamples-project/135917)

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**Author:** [@Stergios\_Papadimitri](https://discourse.julialang.org/u/Stergios_Papadimitri)\
**Replies:** 0\
**Last updated:** [February 28, 2026, 11:00am UTC](https://discourse.julialang.org/t/update-to-https-github-com-sterglee-juliadeeplearningfluxexamples-project/135917 "2026-02-28T11:00:41Z")

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I like to announce that I have implemented many new models in the project.

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## [Discount factor on graph edges and padding stages in SDDP.jl (NEWAVE-style)](https://discourse.julialang.org/t/discount-factor-on-graph-edges-and-padding-stages-in-sddp-jl-newave-style/135863)

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**Author:** [@MagnoOcarlos](https://discourse.julialang.org/u/MagnoOcarlos)\
**Replies:** 1\
**Last updated:** [February 27, 2026, 12:49am UTC](https://discourse.julialang.org/t/discount-factor-on-graph-edges-and-padding-stages-in-sddp-jl-newave-style/135863 "2026-02-27T00:49:52Z")

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Hi all, Following up on my previous question about Conditioning stochastic inflows on lagged state variables in SDDP.jl (PAR(p) model), I now have a question about applying the discount factor in the cost-to-go function…

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## [Multithreading very slow](https://discourse.julialang.org/t/multithreading-very-slow/135711)

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**Author:** [@Leibniz](https://discourse.julialang.org/u/Leibniz)\
**Replies:** 14\
**Last updated:** [February 26, 2026, 7:47pm UTC](https://discourse.julialang.org/t/multithreading-very-slow/135711 "2026-02-26T19:47:45Z")

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Greetings, I am translating a C++ particle simulation code into Julia. In each iteration, the algorithm computes forces that are given by pairwise interactions, which leads to an O(N^2) operation, with N the number of p…

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## [A non-classical ODE problem](https://discourse.julialang.org/t/a-non-classical-ode-problem/135868)

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**Author:** [@Veenty](https://discourse.julialang.org/u/Veenty)\
**Replies:** 2\
**Last updated:** [February 26, 2026, 5:03pm UTC](https://discourse.julialang.org/t/a-non-classical-ode-problem/135868 "2026-02-26T17:03:03Z")

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I have an evolution problem that I cannot cast in a classical form. \\frac{d}{dt} A u = u + F(u,v) \\\\ G(u) = 0 Where A is a bad matrix to invert, however (A - \\Delta t) is ok to invert. When I’m coding this with an imp…

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## [Seeking low rank solution for two PSD matrices via \`SDPLR.jl\` in \`JuMP\`](https://discourse.julialang.org/t/seeking-low-rank-solution-for-two-psd-matrices-via-sdplr-jl-in-jump/135823)

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**Author:** [@Shuvomoy\_Das\_Gupta](https://discourse.julialang.org/u/Shuvomoy_Das_Gupta)\
**Replies:** 9\
**Last updated:** [February 26, 2026, 2:24pm UTC](https://discourse.julialang.org/t/seeking-low-rank-solution-for-two-psd-matrices-via-sdplr-jl-in-jump/135823 "2026-02-26T14:24:46Z")

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I am trying the SDPLR.jl solver in JuMP for finding low-rank solutions to SDPs and it is working quite nicely when the underlying semidefinite optimization problem has only one PSD variable X. How do I apply SDPLR.jl in J…

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## [Should NonlinearLeastSquaresProblem be used for deep learning?](https://discourse.julialang.org/t/should-nonlinearleastsquaresproblem-be-used-for-deep-learning/135793)

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**Author:** [@dmetivie](https://discourse.julialang.org/u/dmetivie)\
**Replies:** 11\
**Last updated:** [February 24, 2026, 4:03pm UTC](https://discourse.julialang.org/t/should-nonlinearleastsquaresproblem-be-used-for-deep-learning/135793 "2026-02-24T16:03:28Z")

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From this JuliaCon talk Fast and Robust Least Squares / Curve Fitting by @ChrisRackauckas, I gathered that if you have a L2 loss function then you should be using NonlinearLeastSquaresProblem from the NonlinearSolve.jl p…

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## [Need assistance PowerModelDistribution. jl](https://discourse.julialang.org/t/need-assistance-powermodeldistribution-jl/135785)

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**Author:** [@Curtis96](https://discourse.julialang.org/u/Curtis96)\
**Replies:** 8\
**Last updated:** [February 24, 2026, 1:40am UTC](https://discourse.julialang.org/t/need-assistance-powermodeldistribution-jl/135785 "2026-02-24T01:40:04Z")

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Hello everyone, I need your help. I am currently modelling a distribution network (13 buses) using Julia software via PowerModelDistribution with a MATHEMATICAL model. The problem I am encountering is that when calculati…

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## [Downloading maps using OSM in Agents.jl. OpenSSLError](https://discourse.julialang.org/t/downloading-maps-using-osm-in-agents-jl-opensslerror/135751)

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**Author:** [@Magnus\_Lilledahl](https://discourse.julialang.org/u/Magnus_Lilledahl)\
**Replies:** 4\
**Last updated:** [February 23, 2026, 8:39pm UTC](https://discourse.julialang.org/t/downloading-maps-using-osm-in-agents-jl-opensslerror/135751 "2026-02-23T20:39:22Z")

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I am trying to use the OSM module og Agents.jl to download maps from openstreetmaps. With the following MWE using Agents map\_path = OSM.download\_osm\_network(:place\_name; place\_name = "Trondheim", networ…

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## [Mooncake+ODE gradient error](https://discourse.julialang.org/t/mooncake-ode-gradient-error/135797)

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**Author:** [@johnb](https://discourse.julialang.org/u/johnb)\
**Replies:** 1\
**Last updated:** [February 23, 2026, 6:35pm UTC](https://discourse.julialang.org/t/mooncake-ode-gradient-error/135797 "2026-02-23T18:35:47Z")

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I’m trying out Mooncake.jl to obtain gradients through ODEs, but I keep getting uninitialized tangent issues and I’m not sure how to fix it. I’ve attached a small example problem below. Using DifferentiationInterface.jl…

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## [Julia Flux Deep Learning Examples](https://discourse.julialang.org/t/julia-flux-deep-learning-examples/135788)

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**Author:** [@Stergios\_Papadimitri](https://discourse.julialang.org/u/Stergios_Papadimitri)\
**Replies:** 0\
**Last updated:** [February 23, 2026, 11:48am UTC](https://discourse.julialang.org/t/julia-flux-deep-learning-examples/135788 "2026-02-23T11:48:04Z")

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I created the project github dot com slash sterg24 slash JuliaDeepLearningFluxExamples that aims to develop good examples of deep learning with the Flux Julia’s framework

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## [LinearSolveCUDAExt fails to compile](https://discourse.julialang.org/t/linearsolvecudaext-fails-to-compile/131693)

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**Author:** [@sob](https://discourse.julialang.org/u/sob)\
**Replies:** 23\
**Last updated:** [February 20, 2026, 2:01pm UTC](https://discourse.julialang.org/t/linearsolvecudaext-fails-to-compile/131693 "2026-02-20T14:01:40Z")

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As a dependency of DiffEqGPU (version 3.8,0), it fails to compile on Julia 1.11.6 (Linux). (Test) pkg\> precompile Precompiling project... ✗ LinearSolve → LinearSolveCUDAExt 33 dependencies successfully precompiled i…

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## [Coloring individual tick labels in Makie](https://discourse.julialang.org/t/coloring-individual-tick-labels-in-makie/135750)

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**Author:** [@Datseris](https://discourse.julialang.org/u/Datseris)\
**Replies:** 4\
**Last updated:** [February 20, 2026, 1:18pm UTC](https://discourse.julialang.org/t/coloring-individual-tick-labels-in-makie/135750 "2026-02-20T13:18:45Z")

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Is it possible to color individual labels in Makie? Example: fig, ax = scatter(1:5, 1:5) ax.xticks = 1:5 ax.xticklabelcolor = \[:white, :white, :red, :red, :white\] fig which errors. Context: I have this plot: and …

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## [Makie: Axis through (0,0)](https://discourse.julialang.org/t/makie-axis-through-0-0/103968)

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**Author:** [@mpirke](https://discourse.julialang.org/u/mpirke)\
**Replies:** 8\
**Last updated:** [February 20, 2026, 12:03pm UTC](https://discourse.julialang.org/t/makie-axis-through-0-0/103968 "2026-02-20T12:03:23Z")

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Hi there! I wondered whether the following is possible in Makie. import math import numpy as np import matplotlib.pyplot as plt def sigmoid(x): a = \[\] for item in x: a.append(1/(1+math.exp(-item))) …

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## [Automatic Differentiation of the flow of an ode : DifferentiationInterface, SciMLSensitivity](https://discourse.julialang.org/t/automatic-differentiation-of-the-flow-of-an-ode-differentiationinterface-scimlsensitivity/135730)

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**Author:** [@joseph-gergaud](https://discourse.julialang.org/u/joseph-gergaud)\
**Replies:** 1\
**Last updated:** [February 20, 2026, 6:23am UTC](https://discourse.julialang.org/t/automatic-differentiation-of-the-flow-of-an-ode-differentiationinterface-scimlsensitivity/135730 "2026-02-20T06:23:04Z")

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When I use the backend Zygote for the automatic differentiation with DifferentiationInterface for the flow of an ordinary differentiation equation, I have an error : Here is the code : using Pkg Pkg.activate(".") #Pkg.…

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## [Turing constrain on observations of deterministic function](https://discourse.julialang.org/t/turing-constrain-on-observations-of-deterministic-function/135718)

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**Author:** [@Fourier](https://discourse.julialang.org/u/Fourier)\
**Replies:** 3\
**Last updated:** [February 20, 2026, 4:00am UTC](https://discourse.julialang.org/t/turing-constrain-on-observations-of-deterministic-function/135718 "2026-02-20T04:00:05Z")

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I have the following model function f(x) x^2 end @model function simplemodel() x ~ Normal(5, 1) y := f(x) return y end sample(simplemodel(), NUTS(), 50) |\> histogram As can be seen it involves the de…

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## [How to create a differential model at run time?](https://discourse.julialang.org/t/how-to-create-a-differential-model-at-run-time/135704)

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**Author:** [@thudjx](https://discourse.julialang.org/u/thudjx)\
**Replies:** 6\
**Last updated:** [February 20, 2026, 12:50am UTC](https://discourse.julialang.org/t/how-to-create-a-differential-model-at-run-time/135704 "2026-02-20T00:50:48Z")

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I want to create a differential algebraic model by reading information from a file, thus I can only construct the model at run time. But I don’t know how to do this because the example models from documentation of Differ…

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## [Get varRefs of whole container](https://discourse.julialang.org/t/get-varrefs-of-whole-container/135726)

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**Author:** [@ohmsweetohm1](https://discourse.julialang.org/u/ohmsweetohm1)\
**Replies:** 4\
**Last updated:** [February 19, 2026, 7:44pm UTC](https://discourse.julialang.org/t/get-varrefs-of-whole-container/135726 "2026-02-19T19:44:16Z")

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Is there a way to get the variable refs of the whole container? julia\> @variable(model, u\[1:2\]) 2-element Vector{VariableRef}: u\[1\] u\[2\] julia\> variable\_by\_name(model, "u\[2\]") u\[2\] How do I get all u as Vector{Varia…

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## [Why do the density plots with Unitful display units on the "wrong" axis?](https://discourse.julialang.org/t/why-do-the-density-plots-with-unitful-display-units-on-the-wrong-axis/135727)

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**Author:** [@bertulli](https://discourse.julialang.org/u/bertulli)\
**Replies:** 0\
**Last updated:** [February 19, 2026, 1:38pm UTC](https://discourse.julialang.org/t/why-do-the-density-plots-with-unitful-display-units-on-the-wrong-axis/135727 "2026-02-19T13:38:56Z")

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Hi all! I noticed that, when plotting the probability distribution of some data with Plots.jl with density(x), the axis representing the “underlying” data, is on the x axis: using Plots using StatsPlots x = \[1,1,1,2,2\] …

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## [Unsupported constraint only in infeasibility analysis](https://discourse.julialang.org/t/unsupported-constraint-only-in-infeasibility-analysis/135721)

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**Author:** [@ohmsweetohm1](https://discourse.julialang.org/u/ohmsweetohm1)\
**Replies:** 5\
**Last updated:** [February 18, 2026, 7:39pm UTC](https://discourse.julialang.org/t/unsupported-constraint-only-in-infeasibility-analysis/135721 "2026-02-18T19:39:32Z")

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I have a JuMP.jl model that I solve using Gurobi. For some cases (data) it is infeasible. I am using MathOptAnalyzer.jl to generate an infeasibility report: MathOptAnalyzer.analyze(MathOptAnalyzer.Infeasibility.Analyze…

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## [Why does \`JuMP.set\_objective\_coefficient(m, x, c::Float64)\` have allocations?](https://discourse.julialang.org/t/why-does-jump-set-objective-coefficient-m-x-c-float64-have-allocations/135717)

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**Author:** [@WalterMadelim](https://discourse.julialang.org/u/WalterMadelim)\
**Replies:** 7\
**Last updated:** [February 18, 2026, 1:31pm UTC](https://discourse.julialang.org/t/why-does-jump-set-objective-coefficient-m-x-c-float64-have-allocations/135717 "2026-02-18T13:31:43Z")

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I’m very curious here. Where can this API lead to allocations so that it has even more allocations that @objective (in number of allocations, though not in total memory size) when I want to reset the objective function? …

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## [How to install Pytorch with cuda support through CondaPkg](https://discourse.julialang.org/t/how-to-install-pytorch-with-cuda-support-through-condapkg/135690)

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**Author:** [@Tomas\_Pevny](https://discourse.julialang.org/u/Tomas_Pevny)\
**Replies:** 4\
**Last updated:** [February 18, 2026, 5:25am UTC](https://discourse.julialang.org/t/how-to-install-pytorch-with-cuda-support-through-condapkg/135690 "2026-02-18T05:25:12Z")

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Hi All, I would like to ask, if anyone knows how to install pytorch with cuda support through CondaPkg. It has to happen that I need to call some language models and I have opted to use transformers from HuggingFace, as…

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