[native] linalg implementations deep copy input arrays

Hi guys,

I saw functions in NativeLinAlgEx in multi-openblas deep copy the input arrays. Some of the examples are shown below.

```
override fun solve(a: MultiArray, b: MultiArray): NDArray =
solveCommon(a.toType(CopyStrategy.MEANINGFUL), b.toType(CopyStrategy.MEANINGFUL))`

override fun solveF(a: MultiArray, b: MultiArray): NDArray =
solveCommon(a.deepCopy(), b.deepCopy())`

override fun solveC(a: MultiArray, b: MultiArray): NDArray =
solveCommon(a.deepCopy(), b.deepCopy())
```

I wonder whether deep copy is in fact needed. In our use cases, we slice a matrix many times and pass the sub-matrices to the solver. Deep copying them is suboptimal.

Thanks in advance for your help!

Best,
Max

Start by reviewing the NativeLinAlgEx implementations in multi-openblas, especially solve, solveF, and solveC, and trace how their input arrays are passed to solveCommon. Determine whether sliced inputs remain safe without deep copies; done means the copying behavior is resolved and the affected implementations are covered by appropriate validation.

Written by the indexing model from the issue text.