-
> Resources
- https://en.wikipedia.org/wiki/Mathematics
- https://en.wikipedia.org/wiki/Pure_mathematics
Pure mathematics is the study of mathematical concepts independently of any applicat…
-
# Problem
Many scientific applications perform computations on a Cartesian grid. The common approach for the parallelization of these applications with MPI is domain decomposition. To help develope…
-
To illustrate further on my long post regarding definitions ...
https://github.com/ReScience/ReScience-article/issues/5#issuecomment-241232791
... here is a quick review of usage in the _ReScience_ g…
-
# Practicing Open Science By Marcus D. Hanwell, William J. Schroeder, Luis Ibanez [December 2018] In book: Implementing Reproducible Research (pp.241-280)
## links
* https://www.taylorfrancis…
-
**Submitting author:** @omlins (Samuel Omlin)
**Repository:** https://github.com/omlins/ParallelStencil.jl
**Branch with paper.md** (empty if default branch): JuliaConProceeding2022
**Version:**
**E…
-
Hope this is the right place submit this, if not please let me know.
Anyway, suppose we had a standard bytecode for a deterministic virtual machine. That means any program compiled into that bytecode…
-
Hello Specfem developers,
I am playing with Specfem3D_Globe and getting it to run on OpenShift Kubernetes (see [this video](https://www.youtube.com/watch?v=q8ZCflXcSj8&t=8s) for a first demo/illus…
-
## 🚀 Feature
It would be great to have a library of optimization routines for the deterministic setting (a la `scipy.optimize`) using PyTorch autograd mechanics. I have written a [prototype library](…
-
I really like the pace of this project and I am really thankful that @LSchueler started this and @adamreichold jumped in and already put so much work into speeding this up. I didn't have the time to t…
-
I would like to add content about Python being used in different applications as listed below.
- Python for Data Science and Machine Learning
1. Introduction to Pandas and NumPy
2. Data Visuali…