-
Hi there:
During my optimization, I applied LN_COBYLA since it supports arbitrary nonlinear constraint. My "constraint function" is actually a collision avoidance function. The function returns 1…
-
Some nonlinear problems can be very efficiently solved with non-standard methods, possibly abusing the specific structure of the problem. To allow users to efficiently utilize such methods in tandem w…
-
Hello every one, recently I try to rewrite DSO, and I almost finish the nonlinear optimization part. I found the state estimates (especially affine brightness parameters) are easily to drift in my i…
vonzy updated
6 years ago
-
Hi and congrats on the huge review, which will be tremendously useful to everyone in the field. I also really like your fully open science approach, and will emulate it in the future.
Since your pa…
-
So, method basically works now, so I think it might be worth it to start thinking API already.
If this is going to fit in some general "Constrained Optimization" in Optim, or in relation to Optim at …
-
Was trying to connect Juniper with POD for some large scale runs.
Juniper solver is configed as:
```
solver = JuniperSolver(IpoptSolver(print_level=0), time_limit=60)
```
Here is a sample ou…
-
Hi Ax Team,
I am trying to implement a Service API version of the safe optimization idea floated by @Balandat [here](https://github.com/pytorch/botorch/discussions/2240#discussioncomment-8701003);…
-
### Description
This Issue aims to address and refactor the `batch_processing` model to fix benchmark issues as outlined in [Issue #60](https://github.com/SECQUOIA/gdplib/issues/60).
Solution stra…
-
Error seems to occur when optimizing `GammaC` objective on `gh/Gamma_c` branch, happens on the second optimization step and seems related to the JIT cache? The error also only occurs if attempting an …
-
just an idea, should be easy to add, and we inherit almost everything
similar to the Mixin classes for modifying models, we can use nonlinear transformation of the loglikelihood, and maximize that …