-
Currently, the direct optimization has trouble converging for complex basis sets (e.g. 6-31g) and XC (e.g. PBE). There are a few ideas to try out
1. Do one step second order optimization after runn…
-
Currently Drake doesn't implement doing optimization with augmented Lagrangian method. We think this method can be very helpful for constrained optimization.
The tentative plan includes supporting …
-
I'm not aware enough of the status of tablet merge, so I don't know if this is a real bug or I'm worried for nothing. CC @tgrabiec
Materialized views cares about the order of replicas in the repli…
-
Hi all,
I think it would a must have some optimization in DB Tables in order to be more efficient in serving data in the ContentItem List. Recently I've done a massive import of data from an external …
-
Thanks for this implementation. Recently, I've been working on a package to use machine learning for chemistry problems where I use pytorch to train some models. I have been able to perform distribute…
-
It would be great for F.grid_sample() to support high order derivatives. This is particularly useful for training setups that utilize F.grid_sample() for spatial transformations inside the network and…
-
### What type of enhancement is this?
Performance, User experience
### What subsystems and features will be improved?
Query planner
### What does the enhancement do?
I think this is a r…
-
**Motivation**
* Faster than raw operations by 200-1000x (Lazy optimization, Rust, Fastest Algorithms for every simple operation)
* Big amount of supported features
* Less memory intensive
* Can…
-
Hello -
I represent a team that solves topology optimization and related problems, so we frequently wish to render element-wise constant fields on meshes of various geometries. I recently heard fro…
-
We should explore the use of techniques such as edge-pushing, graph coloring, etc. to discover and exploit sparsity patterns in ReverseDiff's second-order derivative computations.
Maybe sparsity op…