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kalmarek 2017-09-10 17:35:12 +02:00
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@ -29,7 +29,7 @@ julia SL.jl -N 2 -p 7 --radius 2 --iterations 100000
``` ```
(~30 seconds, depending on hardware). The monotonous decreasing $\lambda$ during the optimisation is in column `pri obj` (or `dua obj`) of `solver.log`. (~30 seconds, depending on hardware). The monotonous decreasing $\lambda$ during the optimisation is in column `pri obj` (or `dua obj`) of `solver.log`.
Compare this to Compare this to
```shell ```shell
julia SL.jl -N 2 -p 7 --radius 3 --iterations 100000 julia SL.jl -N 2 -p 7 --radius 3 --iterations 100000
``` ```
@ -51,23 +51,22 @@ usage: SL.jl [--tol TOL] [--iterations ITERATIONS]
optional arguments: optional arguments:
--tol TOL set numerical tolerance for the SDP solver --tol TOL set numerical tolerance for the SDP solver
(default: 1e-5) (type: Float64, default: (type: Float64, default: 1.0e-6)
1.0e-5)
--iterations ITERATIONS --iterations ITERATIONS
set maximal number of iterations for the SDP set maximal number of iterations for the SDP
solver (default: 20000) (type: Int64, default: solver (default: 20000) (type: Int64, default:
20000) 50000)
--upper-bound UPPER-BOUND --upper-bound UPPER-BOUND
Set an upper bound for the spectral gap Set an upper bound for the spectral gap (type:
(default: Inf) (type: Float64, default: Inf) Float64, default: Inf)
--cpus CPUS Set number of cpus used by solver (default: --cpus CPUS Set number of cpus used by solver (type:
auto) (type: Int64) Int64)
-N N Consider matrices of size N (default: N=3) -N N Consider elementary matrices EL(N) (type:
(type: Int64, default: 3)
-p P Matrices over filed of p-elements (default:
p=0 => over ZZ) (type: Int64, default: 0)
--radius RADIUS Find the decomposition over B_r(e,S) (type:
Int64, default: 2) Int64, default: 2)
-p P Matrices over field of p-elements (p=0 => over
ZZ) (type: Int64, default: 0)
--radius RADIUS Radius of ball B_r(e,S) to find solution over
(type: Int64, default: 2)
-h, --help show this help message and exit -h, --help show this help message and exit
``` ```