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Currently, we save tuples of every space in the order of its primary index. On recovery, we sort tuples in order of each secondary key with parallel qsort because B-tree can be built blazingly fast fr…
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Hi, first of all, congratulations for your work, the COINr package in incredibly useful.
I have a doubt regarding the structure of the vector of importances "itarg" used during the weight optimizat…
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Hi,
I'm compiling the following OCaml code with Wasocaml:
```ocaml
type 'a list =
| Nil
| Cons of 'a * 'a list
let rec aux p = function
| Nil -> Cons (1, Nil)
| Cons (hd, tl) -> …
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"Loop peeling" is a compiler optimization that unrolls a loop into two copies. In the variant of interest here, the first copy executes the first iteration of the loop, and the second copy executes th…
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**Reported by jorn.baayen on 9 Mar 2016 15:57 UTC**
Currently, FMI 2.0 ME supports first order directional derivatives. This is useful for gradient-based optimization and parameter estimation.
Y…
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History commands:
2343 git clone https://github.com/llSourcell/Second_Order_Optimization_Newtons_Method.git
2344 cd Second_Order_Optimization_Newtons_Method/
2347 sudo easy_install pip
2348…
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Please see error occurred in line [12]: name 'second_order' is not defined
I use Python 3.6
Please help
Changhe Huang
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I think we can add tutorials for the following type of optimization programs (one tutorial for each)
- [x] Linear Programming
- [x] Quadratic Programming
- [ ] Second-order cone Programming
- […
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There is already support for BilinearOperator in `pyproximal/pyproximal/utils/bilinear.py` and the PALM optimizer; however,
they do not scale to second-order methods such as Levenberg-Marquardt (LM) …
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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…