Gels

Computes the solution to the least squares and least norm problems for a full rank matrix A of size (m,n) and a matrix B of size (m,k).

tch_gels(x, A)

Arguments

x	tensor object
A	the m,b by nn matrix A

Examples

A <- tensor(matrix(runif(100), ncol = 10))
y <- tensor(matrix(runif(10), ncol = 1))
tch_gels(y, A)
#> [[1]]
#> tensor 
#>  0.2110
#> -0.9201
#>  0.3935
#>  0.6024
#>  0.6072
#> -0.1660
#> -0.7642
#> -0.2543
#>  0.7081
#>  0.6277
#> [ Variable[CPUFloatType]{10,1} ]
#> 
#> [[2]]
#> tensor 
#> -2.0219 -1.6027 -1.3651 -1.3294 -1.1907 -1.3732 -1.1550 -1.8738 -1.0506 -1.6168
#>  0.2764  1.1768  0.3825  0.6945  0.7640  0.5197  0.3655  0.3254  0.7436  0.7046
#>  0.1390 -0.4885  1.0842 -0.1338  0.6337  0.2064 -0.0344 -0.0051  0.0428  0.1625
#>  0.4066  0.0845  0.3129  0.7914  0.3104 -0.1048  0.6457  0.4495 -0.1290 -0.3964
#>  0.3987  0.0556  0.5946 -0.2235  0.7092  0.3892  0.1450  0.3231 -0.1086  0.1597
#>  0.0405 -0.6786 -0.0643 -0.4920  0.1990 -0.9383  0.0849  0.0921 -0.3273  0.0305
#>  0.3245 -0.1553 -0.0111 -0.1509  0.4692  0.0026  0.5025  0.0676  0.4156 -0.4264
#>  0.2506 -0.4376 -0.0740  0.5600  0.0119 -0.1470  0.3403  0.7147 -0.5241  0.1209
#>  0.3063  0.0615  0.2792  0.2479  0.1414  0.1628  0.1051 -0.1884 -0.3687  0.2782
#>  0.3082  0.1835 -0.1191 -0.2112 -0.0601 -0.0963 -0.5181 -0.4705 -0.1940 -0.3266
#> [ Variable[CPUFloatType]{10,10} ]
#>