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Hi,
I am trying to optimize the difference between two entropy expressions (which, we can prove is convex). The code is as follows:
```
using Distributions
using Convex
mx = 2
ms = 2
px = Binomia…
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I installed octomap using sudo apt-get install ros-kinetic-octomap
then tried to install octovis using:
sudo apt-get install ros-kinetic-octovis
it shows E: unable to locate package
What could b…
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Continuing the discussion from #4, this package would be a good addition for JuliaOpt. Here's a checklist of what needs to be done:
- [ ] Seamless install using BinDeps
- [ ] binaries (of asl and am…
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This one is harder. Needs some sort of optimization.
$\min{ I[ Z : {X_i}] : B[{X_i} | Z] = 0 }$
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## Your Environment
- Operating System and version: Ubuntu Mate 16.10
- Compiler: gcc 5.4.0
- PCL Version: 1.7
 I use `Fminbox` to generate many local searches. Starting with `Optim` to v0.5.0 I notice a problem with `hz_linesearch!` on the Rastri…
Ken-B updated
8 years ago
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Add module for objective functionals for primal-dual formulations of optimization problems.
Properties:
- convex conjugate
- proximal operator
- separable sum
- gradient
EDIT @kohr-h: gradient added
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Posting to help any future GPkit'ers debug.
I have a GPkit model (`casey.py`) that prompts the following error/traceback when solved with `cvxopt`:
``` python
$ ipython casey.py
C:\Python27\lib\site…
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``` julia
Pkg.add("BlackBoxOptim"); Pkg.checkout("BlackBoxOptim"); Pkg.test("BlackBoxOptim")
```
gives
```
ERROR: LoadError: FactCheck finished with 2 non-successful tests.
in exitstatus() at /Us…