You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -34,7 +34,7 @@ Optimas is a Python library designed for highly scalable optimization, from lapt
34
34
35
35
## Key Features
36
36
37
-
-**Scalability**: Leveraging the power of [libEnsemble](https://github.com/Libensemble/libensemble), Optimas is designed to scale seamlessly, from your laptop to high-performance computing clusters.
37
+
-**Scalability**: Leveraging the power of [libEnsemble](https://github.com/Libensemble/libensemble), Optimas is designed to scale seamlessly from your laptop to high-performance computing clusters.
38
38
-**User-Friendly**: Optimas simplifies the process of running large parallel parameter scans and optimizations. Specify the number of parallel evaluations and the computing resources to allocate to each of them and Optimas will handle the rest.
39
39
-**Advanced Optimization**: Optimas integrates algorithms from the [Ax](https://github.com/facebook/Ax) library, offering both single- and multi-objective Bayesian optimization. This includes advanced techniques such as multi-fidelity and multi-task algorithms.
0 commit comments