A. Leonard Nicusan

Results 10 issues of A. Leonard Nicusan

In its current implementation, the [`translate`](https://github.com/JuliaPolyhedra/Polyhedra.jl/blob/57858dcf82fcfdbd1b0f3462a6933b7a9f816304/src/repelemop.jl#L32-L44) function creates a new object for the translated polyhedron. In cases where a large number of translations are applied, this quickly becomes an unnecessary...

The [`translate`](https://github.com/JuliaPolyhedra/Polyhedra.jl/blob/57858dcf82fcfdbd1b0f3462a6933b7a9f816304/src/repelemop.jl#L32-L44) function is extremely useful for a moving object; would it also be possible to implement a `rotate(p::Polyhedron, r)` function, receiving a N x N rotation matrix `r`, where...

Added multiple materials on anonymisation ### Summary Fixes #2490 ### List of changes proposed in this PR (pull-request) * Added more materials to the anonymisation section, as instructed by the...

PR: partially-approved
collaboration-workshop

Dear Lethe authors, Again, thank you for developing this library, we're finding it extremely powerful for our chemical engineering problems at Birmingham. I'm working with a complex case we're trying...

Hi, thank you for developing this library - I would like to write optimised kernels for common GPU algorithms such as reduce, scan, radix sort, etc. similar to [CUB](https://nvlabs.github.io/cub/) but...

Is there any way to use `LinearSolve.jl` algorithms with `RecursiveArrayTools.ArrayPartition`? Concrete example: ```julia using RecursiveArrayTools using DifferentialEquations f!(du, u, p, t) = du .= 1.01 .* u u0 = ArrayPartition([0.25,...

Hello, and thank you _so_ much for maintaining this automatic installer for deal.II - it's quite a life-saviour. I am currently trying to use `candi` on a simple pre-configured intel-hpckit...

This is mainly to start a conversation around the KA kernel language, as it currently starts accumulating more functionality / cruft; for example, if I want a high-performance kernel as...

The "only" CMA-ES hyperparameter normally set by users is hardcoded as 0.1 in the code below: https://github.com/SciML/Optimization.jl/blob/master/lib/OptimizationCMAEvolutionStrategy/src/OptimizationCMAEvolutionStrategy.jl#L112C1-L113C1 Is this deliberate, or is there some internal parameter rescaling I don't see?...

I randomly see this error popping up on the BuildKite CI: https://buildkite.com/julialang/acceleratedkernels-dot-jl/builds/14#01932a74-e21d-408d-86d0-81bf259f6bce/241-416 It happens when creating two exclusive views into the same array, immediately one after the other: ```julia p1...