[mlpack-git] [mlpack] Armadillo matrix transposition doubles memory usage for a matrix (#203)

[Ryan Curtin]

Hm, so we can't easily determine the amount of available RAM.  One way to do this is to attempt to allocate the memory we need for the transpose, then if that fails, use `inplace_trans()`.  Looking at `armadillo_bits/debug.hpp`, when an allocation fails, the error will be printed (unless `ARMA_PRINT_ERRORS` is not defined), and then a `std::bad_alloc` is thrown.  Maybe a solution is to try and catch the `bad_alloc`, and if that happens, then transpose inplace?

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https://github.com/mlpack/mlpack/issues/203#issuecomment-75119669
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