diff --git a/Project.toml b/Project.toml index bce542a7..f6a5d1cf 100644 --- a/Project.toml +++ b/Project.toml @@ -12,8 +12,6 @@ Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7" Libdl = "8f399da3-3557-5675-b5ff-fb832c97cbdb" LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e" BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232" -GenericSVD = "01680d73-4ee2-5a08-a1aa-533608c188bb" -GenericSchur = "c145ed77-6b09-5dd9-b285-bf645a82121e" SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b" Readables = "0d4725de-cd7c-5e44-8a85-a48caeef9fa5" GMP_jll = "781609d7-10c4-51f6-84f2-b8444358ff6d" @@ -30,7 +28,5 @@ test = ["Test"] [compat] SpecialFunctions = "0.7, 0.8, 0.9, 0.10, 1" BinaryProvider = "0.4, 0.5, 0.6, 0.7, 0.9, 1" -GenericSVD = "0.3, 0.4, 0.5" -GenericSchur = "0.4, 0.5, 0.6" Readables = "0.3" julia = "1" diff --git a/docs/exemplars/expmatrix.jl b/docs/exemplars/expmatrix.jl index 72fceaa2..3854a896 100644 --- a/docs/exemplars/expmatrix.jl +++ b/docs/exemplars/expmatrix.jl @@ -18,7 +18,7 @@ with a 500x500 matrix of Float64s, working with 350 bits used 25 seconds with a 750x750 matrix of Float64s, working with 175 bits used 25 seconds =# -using ArbNumerics # GenericSVD, LinearAlgebra, Readables +using ArbNumerics # LinearAlgebra, Readables #= ArbNumerics' interactive users see the "viewable precision"; computations utilize "working precision". diff --git a/docs/src/matrixfunctions.md b/docs/src/matrixfunctions.md index 171ff20d..b881d803 100644 --- a/docs/src/matrixfunctions.md +++ b/docs/src/matrixfunctions.md @@ -7,7 +7,7 @@ ## Matrix Functions -#### `using ArbNumerics, GenericSchur, GenericSVD, LinearAlgebra` +#### `using ArbNumerics, LinearAlgebra` - `det`, `tr` - `transpose`, `adjoint`, `inv` diff --git a/src/ArbNumerics.jl b/src/ArbNumerics.jl index 3b3a787e..00510b9e 100644 --- a/src/ArbNumerics.jl +++ b/src/ArbNumerics.jl @@ -127,8 +127,6 @@ import SpecialFunctions: gamma, lgamma, lfact, digamma, invdigamma, polygamma, t besselj, besselj0, besselj1, bessely, bessely0, bessely1, besseli, besselk, eta, zeta -using GenericSVD - using LinearAlgebra import LinearAlgebra: tr, det, transpose, transpose!, norm, lu, ldlt, cholesky, tril, triu, eigvals, svdvals, floatmin2,