The {ao}
package implements alternating optimization
(AO) in R.
AO is an iterative process that optimizes a function by alternately performing restricted optimization over parameter subsets. Instead of joint optimization, it breaks the optimization problem down into simpler sub-problems. This approach can make optimization feasible when joint optimization is too difficult. See the package vignette for more details.
You can install the released package version from CRAN with:
install.packages("ao")
Then load the package via library("ao")
and you should
be ready to go. Here is a simple example of alternating minimization of
the Rosenbrock
function:
<- function(x) (1 - x[1])^2 + (x[2] - x[1]^2)^2 rosenbrock
The resulting optimization path …
… is obtained as follows:
ao(f = rosenbrock, initial = c(2, 2), add_details = TRUE)
#> $estimate
#> [1] 1.000895 1.001791
#>
#> $value
#> [1] 8.016137e-07
#>
#> $details
#> iteration value p1 p2 b1 b2 seconds
#> 1 0 5.000000e+00 2.000000 2.000000 0 0 0.000000000
#> 2 1 1.519238e-01 1.366025 2.000000 1 0 0.006363869
#> 3 1 1.339744e-01 1.366025 1.866024 0 1 0.002068996
#> 4 2 1.176778e-01 1.320824 1.866024 1 0 0.002699137
#> 5 2 1.029278e-01 1.320824 1.744575 0 1 0.002110958
#> 6 3 8.966402e-02 1.278883 1.744575 1 0 0.002901077
#> 7 3 7.777546e-02 1.278883 1.635540 0 1 0.001904011
#> 8 4 6.719114e-02 1.240415 1.635540 1 0 0.003144026
#> 9 4 5.779955e-02 1.240415 1.538630 0 1 0.001903057
#> 10 5 4.952339e-02 1.205560 1.538630 1 0 0.009890079
#> 11 5 4.225482e-02 1.205560 1.453374 0 1 0.002016068
#> 12 6 3.591491e-02 1.174366 1.453374 1 0 0.002801895
#> 13 6 3.040344e-02 1.174366 1.379135 0 1 0.001818895
#> 14 7 2.564430e-02 1.146792 1.379135 1 0 0.003333092
#> 15 7 2.154801e-02 1.146792 1.315133 0 1 0.002017021
#> 16 8 1.804492e-02 1.122712 1.315133 1 0 0.003165960
#> 17 8 1.505832e-02 1.122712 1.260483 0 1 0.002074957
#> 18 9 1.252724e-02 1.101923 1.260483 1 0 0.003380060
#> 19 9 1.038836e-02 1.101923 1.214235 0 1 0.001863956
#> 20 10 8.590837e-03 1.084167 1.214235 1 0 0.006909132
#> 21 10 7.084101e-03 1.084167 1.175418 0 1 0.001886129
#> 22 11 5.827377e-03 1.069149 1.175418 1 0 0.006983995
#> 23 11 4.781578e-03 1.069149 1.143079 0 1 0.001940012
#> 24 12 3.915156e-03 1.056558 1.143079 1 0 0.006923914
#> 25 12 3.198754e-03 1.056558 1.116314 0 1 0.003469944
#> 26 13 2.608707e-03 1.046082 1.116314 1 0 0.018738031
#> 27 13 2.123531e-03 1.046082 1.094287 0 1 0.001847029
#> 28 14 1.725945e-03 1.037424 1.094287 1 0 0.002201080
#> 29 14 1.400576e-03 1.037424 1.076249 0 1 0.001825809
#> 30 15 1.135093e-03 1.030310 1.076249 1 0 0.002213955
#> 31 15 9.187038e-04 1.030310 1.061539 0 1 0.001797915
#> 32 16 7.427825e-04 1.024492 1.061539 1 0 0.002194881
#> 33 16 5.998755e-04 1.024492 1.049585 0 1 0.001878977
#> 34 17 4.840462e-04 1.019754 1.049585 1 0 0.002230883
#> 35 17 3.902161e-04 1.019754 1.039898 0 1 0.001816034
#> 36 18 3.143566e-04 1.015907 1.039898 1 0 0.002327919
#> 37 18 2.530454e-04 1.015907 1.032068 0 1 0.002080917
#> 38 19 2.035803e-04 1.012794 1.032068 1 0 0.002326012
#> 39 19 1.636760e-04 1.012794 1.025751 0 1 0.001852989
#> 40 20 1.315375e-04 1.010279 1.025751 1 0 0.002521038
#> 41 20 1.056496e-04 1.010279 1.020663 0 1 0.002076864
#> 42 21 8.482978e-05 1.008251 1.020663 1 0 0.002562046
#> 43 21 6.807922e-05 1.008251 1.016570 0 1 0.001961946
#> 44 22 5.462405e-05 1.006619 1.016570 1 0 0.002355099
#> 45 22 4.380882e-05 1.006619 1.013281 0 1 0.001914978
#> 46 23 3.513011e-05 1.005307 1.013281 1 0 0.002474070
#> 47 23 2.815916e-05 1.005307 1.010641 0 1 0.002257109
#> 48 24 2.257018e-05 1.004252 1.010641 1 0 0.002510071
#> 49 24 1.808332e-05 1.004252 1.008523 0 1 0.002375126
#> 50 25 1.448872e-05 1.003406 1.008523 1 0 0.002344847
#> 51 25 1.160399e-05 1.003406 1.006825 0 1 0.001878977
#> 52 26 9.294548e-06 1.002728 1.006825 1 0 0.002475977
#> 53 26 7.441548e-06 1.002728 1.005463 0 1 0.001852989
#> 54 27 5.959072e-06 1.002184 1.005463 1 0 0.002201080
#> 55 27 4.769667e-06 1.002184 1.004373 0 1 0.001419067
#> 56 28 3.818729e-06 1.001748 1.004373 1 0 0.002189875
#> 57 28 3.055717e-06 1.001748 1.003499 0 1 0.001791000
#> 58 29 2.446111e-06 1.001399 1.003499 1 0 0.002210140
#> 59 29 1.956863e-06 1.001399 1.002800 0 1 0.001793861
#> 60 30 1.566279e-06 1.001119 1.002800 1 0 0.004199028
#> 61 30 1.252688e-06 1.001119 1.002240 0 1 0.002015114
#> 62 31 1.002554e-06 1.000895 1.002240 1 0 0.002316952
#> 63 31 8.016137e-07 1.000895 1.001791 0 1 0.001415968
#>
#> $seconds
#> [1] 0.1820159
#>
#> $stopping_reason
#> [1] "change in function value between 1 iteration is < 1e-06"
If you have any questions, found a bug, need a feature, just file an issue on GitHub.