Commits on May 14, 2020

1. Define a custom type for the random field …

   With this change we also take advantage of a new change introduced in
   GaussianRandomFields v2.1.1 that allows us to reduce memory allocations when
   sampling.  For example, with current master:
   
   ```julia
   julia> using BenchmarkTools, TDAC
   
   julia> x = 1.:200.;
   
   julia> y = 1.:200.;
   
   julia> grf = @Btime TDAC.init_gaussian_random_field_generator(1.0,1.0,1.0,$x,$y,0);
     18.287 ms (121 allocations: 5.50 MiB)
   
   julia> f = zeros(40000);
   
   julia> rnn = rand(160000);
   
   julia> @Btime TDAC.sample_gaussian_random_field!($f, $grf, $rnn);
     1.461 ms (10 allocations: 2.75 MiB)
   ```
   
   With this change:
   
   ```julia
   julia> using BenchmarkTools, TDAC
   
   julia> x = 1.:200.;
   
   julia> y = 1.:200.;
   
   julia> grf = @Btime TDAC.init_gaussian_random_field_generator(1.0,1.0,1.0,$x,$y,0,$true);
     18.102 ms (126 allocations: 8.25 MiB)
   
   julia> f = zeros(40000);
   
   julia> rnn = randn(size(grf.grf.data[1]));
   
   julia> @Btime TDAC.sample_gaussian_random_field!($f, $grf, $rnn);
     1.366 ms (3 allocations: 128 bytes)
   ```
   
   The speed-up is modest, the major benefit is from having much less memory
   allocations every time we do the sampling.  The memory allocations have been
   moved to the initialisation, which is however a one-off.

   

   giordano committed May 14, 2020
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