It looks like may be using norm(matrix). In Julia 0.7, this will compute the Frobenius norm (vecnorm in Julia 0.6), due to JuliaLang/julia#27401. If you want the induced/operator norm as in Julia 0.6, use opnorm(matrix) instead, or Compat.opnorm(matrix) to work in 0.6 and 0.7 (JuliaLang/Compat.jl#577).
Note that, for testing purposes, rather than @test norm(A - B) ≤ tol, it is usually preferred to do @test A ≈ B or @test A ≈ B rtol=... (which uses isapprox).
It looks like may be using
norm(matrix). In Julia 0.7, this will compute the Frobenius norm (vecnormin Julia 0.6), due to JuliaLang/julia#27401. If you want the induced/operator norm as in Julia 0.6, useopnorm(matrix)instead, orCompat.opnorm(matrix)to work in 0.6 and 0.7 (JuliaLang/Compat.jl#577).Note that, for testing purposes, rather than
@test norm(A - B) ≤ tol, it is usually preferred to do@test A ≈ Bor@test A ≈ B rtol=...(which usesisapprox).