kai
#1
Somehow potri is not giving me the inverse. What did I do wrong? Here is an example:

```
using LinearAlgebra, Random
Random.seed!(1)
x = rand(5, 5)
V = x'x
LinearAlgebra.copytri!(V, 'U')
Vcopy = rand(5, 5)
copyto!(Vcopy, V)
```

Then

```
inv(V) * Vcopy
```

gives back identity.

But

```
LinearAlgebra.LAPACK.potri!('U', V)
LinearAlgebra.copytri!(V, 'U')
V * Vcopy
```

gives something far from identity.

kai
#2
Turns out that I need to call `potrf`

before `potri`

.

The documentation

Computes the inverse of positive-definite matrix `A`

after calling `potrf!`

to find its (upper if `uplo = U`

, lower if `uplo = L`

) Cholesky decomposition.

made me think that `potri`

would call `potrf`

internally. But that is not the case.

So

```
LinearAlgebra.LAPACK.potrf!('U', V)
LinearAlgebra.LAPACK.potri!('U', V)
LinearAlgebra.copytri!(V, 'U')
V * Vcopy
```

would give back identity.

2 Likes

I am not sure why you need to call the LAPACK functions directly. I think that

```
inv(cholesky(V))
```

does what you want.