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# Extensions of LinearAlgebra's svd functionality
# with U, S and VT preallocated.
#
# D. Orban, based on Julia's stdlib
# 6/19/22

# Example use:
# julia> A = rand(8, 10)
# julia> F = psvd_workspace(A, full=false, alg=LinearAlgebra.QRIteration())  # preallocates
# julia> B = copy(A);  # optional; the next line destroys B

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class GccAT7 < Formula
  desc "GNU compiler collection"
  homepage "https://gcc.gnu.org/"
  url "https://ftp.gnu.org/gnu/gcc/gcc-7.5.0/gcc-7.5.0.tar.xz"
  mirror "https://ftpmirror.gnu.org/gcc/gcc-7.5.0/gcc-7.5.0.tar.xz"
  sha256 "b81946e7f01f90528a1f7352ab08cc602b9ccc05d4e44da4bd501c5a189ee661"
  license all_of: [
    "LGPL-2.1-or-later",
    "GPL-3.0-or-later" => { with: "GCC-exception-3.1" },
  ]

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coin-or-tools/coinor/symphony
├── coin-or-tools/coinor/cgl
│   └── coin-or-tools/coinor/clp
│       ├── ampl-mp
│       ├── coin-or-tools/coinor/coinutils
│       │   ├── coin-or-tools/coinor/coin_data_netlib
│       │   ├── coin-or-tools/coinor/coin_data_sample
│       │   ├── coin-or-tools/coinor/glpk@448
│       │   │   └── gmp
│       │   ├── doxygen

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[email protected]

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julia> jprod_rev(F, rand(5), rand(5))
ERROR: DimensionMismatch("arrays could not be broadcast to a common size; got a dimension with lengths 5 and 6")
Stacktrace:
  [1] _bcs1
    @ ./broadcast.jl:501 [inlined]
  [2] _bcs
    @ ./broadcast.jl:495 [inlined]
  [3] broadcast_shape(::Tuple{Base.OneTo{Int64}}, ::Tuple{Base.OneTo{Int64}})
    @ Base.Broadcast ./broadcast.jl:489
  [4] combine_axes

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