-
```
Triangle strips require fewer indices due to implicit connectivity. This could
halve the number of indices required. One downside is that you have to deal
with restarts and/or degenerate triangl…
-
I set HiGHS gap limit to a very low tolerance of 0.9 and ran the Sienna performance test.
The julia deserialization function is taking 50%+ of the total time.
Hence, the main bottleneck by far.
I…
-
```
Triangle strips require fewer indices due to implicit connectivity. This could
halve the number of indices required. One downside is that you have to deal
with restarts and/or degenerate triangl…
-
```
Triangle strips require fewer indices due to implicit connectivity. This could
halve the number of indices required. One downside is that you have to deal
with restarts and/or degenerate triangl…
-
```
Triangle strips require fewer indices due to implicit connectivity. This could
halve the number of indices required. One downside is that you have to deal
with restarts and/or degenerate triangl…
-
## Enhancement
@amesos2
@srajama1
@ndellingwood
@romintomasetti and I have been exploring code in Amesos2 related to the flag `IsContiguous`
that can be passed to several solvers. We have a…
-
Hello, Professor! I have the following problem when running the code on win11. Can you explain what they mean and how to solve the problems? (my graph memory is 8GB) Thank you very much!
python m…
-
```
Triangle strips require fewer indices due to implicit connectivity. This could
halve the number of indices required. One downside is that you have to deal
with restarts and/or degenerate triangl…
-
```
Triangle strips require fewer indices due to implicit connectivity. This could
halve the number of indices required. One downside is that you have to deal
with restarts and/or degenerate triangl…
-
```
Triangle strips require fewer indices due to implicit connectivity. This could
halve the number of indices required. One downside is that you have to deal
with restarts and/or degenerate triangl…