Why does the left-division operator allocates comparatively that much memory? # Data x = [ones(1000) rand(1000)] y = rand(1000) # Benchmark I (left-divison) @btime ($x \ $y) 4.089 μs (29 allocations: 91.67 KiB) 2-element Vector{Float64}: 0.4780493038672541 0.03690626005679365 # Benchmark II (…

[image] AdaemmerP: Why does the left-division operator allocates comparatively that much memory? Because it does pivoted QR, which is more expensive (but more stable) than the normal-equations approach (what you are calling the “OLS formula”). In particular, when minimizing \Vert Ax - b\Vert,…

Memory allocation, left-division operator

Specific Domains Numerics

nilshg August 23, 2023, 1:24pm 2

Is this another thread about

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Memory allocation, left-division operator

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