From 90f13806df94584eca412af3920d404f12db0710 Mon Sep 17 00:00:00 2001 From: Daniel Strobusch <1847260+dastrobu@users.noreply.github.com> Date: Sun, 17 Dec 2023 15:58:04 +0100 Subject: [PATCH 1/3] add docc plugin --- Package.swift | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/Package.swift b/Package.swift index d2bf1f2..d0f54e4 100644 --- a/Package.swift +++ b/Package.swift @@ -11,10 +11,16 @@ let package = Package( name: "AccelerateArray", targets: ["AccelerateArray"]), ], - dependencies: [ - // Dependencies declare other packages that this package depends on. - // .package(url: /* package url */, from: "1.0.0"), - ], + dependencies: { + // https://apple.github.io/swift-docc-plugin/documentation/swiftdoccplugin/ + var deps: [PackageDescription.Package.Dependency] = [] + #if swift(>=5.6.0) + deps.append( + .package(url: "https://github.com/apple/swift-docc-plugin", from: "1.3.0") + ) + #endif + return deps + }(), targets: [ // Targets are the basic building blocks of a package. A target can define a module or a test suite. // Targets can depend on other targets in this package, and on products in packages which this package depends From e824a3a7422cde945f633af4109602a49891a81c Mon Sep 17 00:00:00 2001 From: Daniel Strobusch <1847260+dastrobu@users.noreply.github.com> Date: Sun, 17 Dec 2023 16:22:37 +0100 Subject: [PATCH 2/3] bump to actions/checkout@v4 --- .github/workflows/docc.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/docc.yaml b/.github/workflows/docc.yaml index 549d7fe..90b4e0d 100644 --- a/.github/workflows/docc.yaml +++ b/.github/workflows/docc.yaml @@ -9,7 +9,7 @@ jobs: generate-docs: runs-on: macos-latest steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: generate-documentation # https://apple.github.io/swift-docc-plugin/documentation/swiftdoccplugin/generating-documentation-for-hosting-online/ run: > From c738a83707bce715c518c66d7603b03fcac372ab Mon Sep 17 00:00:00 2001 From: Daniel Strobusch <1847260+dastrobu@users.noreply.github.com> Date: Sun, 17 Dec 2023 16:24:29 +0100 Subject: [PATCH 3/3] remove docs folder --- AccelerateArray.podspec | 2 +- README.md | 2 +- docs/Enums.html | 98 - docs/Enums/LapackError.html | 157 - docs/Extensions.html | 101 - docs/Extensions/Array.html | 2817 ----------------- docs/badge.svg | 28 - docs/css/highlight.css | 200 -- docs/css/jazzy.css | 348 -- .../Contents/Info.plist | 20 - .../Contents/Resources/Documents/Enums.html | 98 - .../Documents/Enums/LapackError.html | 157 - .../Resources/Documents/Extensions.html | 101 - .../Resources/Documents/Extensions/Array.html | 2817 ----------------- .../Contents/Resources/Documents/badge.svg | 28 - .../Resources/Documents/css/highlight.css | 200 -- .../Resources/Documents/css/jazzy.css | 348 -- .../Resources/Documents/img/carat.png | Bin 274 -> 0 bytes .../Contents/Resources/Documents/img/dash.png | Bin 1338 -> 0 bytes .../Contents/Resources/Documents/img/gh.png | Bin 1571 -> 0 bytes .../Contents/Resources/Documents/index.html | 119 - .../Contents/Resources/Documents/js/jazzy.js | 59 - .../Resources/Documents/js/jquery.min.js | 2 - .../Contents/Resources/Documents/search.json | 1 - .../Resources/Documents/undocumented.json | 33 - .../Contents/Resources/docSet.dsidx | Bin 28672 -> 0 bytes docs/docsets/AccelerateArray.tgz | Bin 50037 -> 0 bytes docs/img/carat.png | Bin 274 -> 0 bytes docs/img/dash.png | Bin 1338 -> 0 bytes docs/img/gh.png | Bin 1571 -> 0 bytes docs/index.html | 119 - docs/js/jazzy.js | 59 - docs/js/jquery.min.js | 2 - docs/search.json | 1 - docs/undocumented.json | 33 - 35 files changed, 2 insertions(+), 7948 deletions(-) delete mode 100644 docs/Enums.html delete mode 100644 docs/Enums/LapackError.html delete mode 100644 docs/Extensions.html delete mode 100644 docs/Extensions/Array.html delete mode 100644 docs/badge.svg delete mode 100644 docs/css/highlight.css delete mode 100644 docs/css/jazzy.css delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Info.plist delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/Enums.html delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/Enums/LapackError.html delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/Extensions.html delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/Extensions/Array.html delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/badge.svg delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/css/highlight.css delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/css/jazzy.css delete mode 100755 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/img/carat.png delete mode 100755 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/img/dash.png delete mode 100755 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/img/gh.png delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/index.html delete mode 100755 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/js/jazzy.js delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/js/jquery.min.js delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/search.json delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/Documents/undocumented.json delete mode 100644 docs/docsets/AccelerateArray.docset/Contents/Resources/docSet.dsidx delete mode 100644 docs/docsets/AccelerateArray.tgz delete mode 100755 docs/img/carat.png delete mode 100755 docs/img/dash.png delete mode 100755 docs/img/gh.png delete mode 100644 docs/index.html delete mode 100755 docs/js/jazzy.js delete mode 100644 docs/js/jquery.min.js delete mode 100644 docs/search.json delete mode 100644 docs/undocumented.json diff --git a/AccelerateArray.podspec b/AccelerateArray.podspec index 9c7c502..af86b60 100644 --- a/AccelerateArray.podspec +++ b/AccelerateArray.podspec @@ -16,7 +16,7 @@ Pod::Spec.new do |s| # s.name = "AccelerateArray" - s.version = "0.4.0" + s.version = "0.5.0" s.summary = "Swift Array Extensions for the Apple Accelerate Framework" # This description is used to generate tags and improve search results. diff --git a/README.md b/README.md index 398c545..bb6717e 100644 --- a/README.md +++ b/README.md @@ -43,7 +43,7 @@ additional types, which can be easily built on top of this package. ```swift let package = Package( dependencies: [ - .package(url: "https://github.com/dastrobu/AccelerateArray.git", from: "0.4.0"), + .package(url: "https://github.com/dastrobu/AccelerateArray.git", from: "0.5.0"), ] ) ``` diff --git a/docs/Enums.html b/docs/Enums.html deleted file mode 100644 index a3a7af4..0000000 --- a/docs/Enums.html +++ /dev/null @@ -1,98 +0,0 @@ - - - - Enumerations Reference - - - - - - - - - - -
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AccelerateArray Docs (92% documented)

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Array extension employing the BLAS framework. -https://developer.apple.com/documentation/accelerate/blas

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    SGETRF computes an LU factorization of a general M-by-N matrix A -using partial pivoting with row interchanges.

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    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

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    -
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    -
    -
    -
    -

    SGESV computes the solution to a real system of linear equations - A * X = B, -where A is an N-by-N matrix and X and B are N-by-NRHS matrices.

    - -

    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

    - -

    This array and B must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d8/ddc/group__real_g_ecomputational_ga461f4ac32685a5ca30e293ee73d32920.html#ga461f4ac32685a5ca30e293ee73d32920

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func gesv(ipiv: inout [Int32], B: inout [Element]) throws
    - -
    -
    -
    -
    -
    • -
  • -
    - - - - gtsv(nrhs:dl:du:B:) - -
    -
    -
    -
    -
    -
    -

    SGTSV solves the equation

    - -

    A*X = B,

    - -

    where A is an n by n tridiagonal matrix, by Gaussian elimination with -partial pivoting.

    - -

    Note that the equation A**T*X = B may be solved by interchanging the -order of the arguments DU and DL.

    - -

    This array represents the diagonal of A.

    - -

    http://www.netlib.org/lapack/explore-html/d1/d88/group__real_g_tsolve_gae1cbb7cd9c376c9cc72575d472eba346.html#gae1cbb7cd9c376c9cc72575d472eba346

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func gtsv(nrhs: Int, dl: inout [Element], du: inout [Element], B: inout [Element]) throws
    - -
    -
    -
    -

    Parameters

    - - - - - - - - - - - - - - - - - - - -
    - - nrhs - - -
    -

    The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0.

    -
    -
    - - dl - - -
    -

    On entry, DL must contain the (n-1) sub-diagonal elements of A. - On exit, DL is overwritten by the (n-2) elements of the - second super-diagonal of the upper triangular matrix U from - the LU factorization of A, in DL(1), …, DL(n-2).

    -
    -
    - - du - - -
    -

    On entry, DU must contain the (n-1) super-diagonal elements of A. - On exit, DU is overwritten by the (n-1) elements of the first - super-diagonal of U.

    -
    -
    - - B - - -
    -

    On entry, the N by NRHS matrix of right hand side matrix B. - On exit, if no error was thrown, the N by NRHS solution matrix X.

    -
    -
    -
    -
    -
    -
    • -
-
-
-
    -
  • -
    - - - - getrf(m:n:) - -
    -
    -
    -
    -
    -
    -

    DGETRF computes an LU factorization of a general M-by-N matrix A -using partial pivoting with row interchanges.

    - -

    The factorization has the form - A = P * L * U -where P is a permutation matrix, L is lower triangular with unit -diagonal elements (lower trapezoidal if m > n), and U is upper -triangular (upper trapezoidal if m < n).

    - -

    This is the right-looking Level 3 BLAS version of the algorithm.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/dd/d9a/group__double_g_ecomputational_ga0019443faea08275ca60a734d0593e60.html#ga0019443faea08275ca60a734d0593e60

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func getrf(m: Int, n: Int) throws -> [Int32]
    - -
    -
    -
    -

    Parameters

    - - - - - - - - - - - -
    - - m - - -
    -

    number of rows

    -
    -
    - - n - - -
    -

    number of columns

    -
    -
    -
    -
    -

    Return Value

    -

    The pivot indices; for 1 <= i <= min(M,N), row i of the matrix was interchanged with row IPIV(i).

    -
    -
    -
    -
    • -
  • -
    - - - - getrf(m:n:ipiv:) - -
    -
    -
    -
    -
    -
    -

    DGETRF computes an LU factorization of a general M-by-N matrix A -using partial pivoting with row interchanges.

    - -

    The factorization has the form - A = P * L * U -where P is a permutation matrix, L is lower triangular with unit -diagonal elements (lower trapezoidal if m > n), and U is upper -triangular (upper trapezoidal if m < n).

    - -

    This is the right-looking Level 3 BLAS version of the algorithm.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/dd/d9a/group__double_g_ecomputational_ga0019443faea08275ca60a734d0593e60.html#ga0019443faea08275ca60a734d0593e60

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func getrf(m m_: Int, n n_: Int, ipiv: inout [Int32]) throws
    - -
    -
    -
    -

    Parameters

    - - - - - - - - - - - - - - - -
    - - m - - -
    -

    number of rows

    -
    -
    - - n - - -
    -

    number of columns

    -
    -
    - - ipiv - - -
    -

    the pivot indices; for 1 <= i <= min(m,n), row i of the matrix was interchanged with row ipiv[i].

    -
    -
    -
    -
    -
    -
    • -
  • -
    - - - - getri() - -
    -
    -
    -
    -
    -
    -

    DGETRI computes the inverse of a matrix using the LU factorization -computed by DGETRF.

    - -

    This method inverts U and then computes inv(A) by solving the system -inv(A)*L = inv(U) for inv(A).

    - -

    http://www.netlib.org/lapack/explore-html/dd/d9a/group__double_g_ecomputational_ga56d9c860ce4ce42ded7f914fdb0683ff.html#ga56d9c860ce4ce42ded7f914fdb0683ff

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func getri() throws
    - -
    -
    -
    -
    -
    • -
  • -
    - - - - gesv(B:) - -
    -
    -
    -
    -
    -
    -

    DGESV computes the solution to a real system of linear equations - A * X = B, -where A is an N-by-N matrix and X and B are N-by-NRHS matrices.

    - -

    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d7/d3b/group__double_g_esolve_ga5ee879032a8365897c3ba91e3dc8d512.html#ga5ee879032a8365897c3ba91e3dc8d512

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func gesv(B: inout [Element]) throws
    - -
    -
    -
    -
    -
    • -
  • -
    - - - - gesv(ipiv:B:) - -
    -
    -
    -
    -
    -
    -

    DGESV computes the solution to a real system of linear equations - A * X = B, -where A is an N-by-N matrix and X and B are N-by-NRHS matrices.

    - -

    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

    - -

    This array and B must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d7/d3b/group__double_g_esolve_ga5ee879032a8365897c3ba91e3dc8d512.html#ga5ee879032a8365897c3ba91e3dc8d512

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func gesv(ipiv: inout [Int32], B: inout [Element]) throws
    - -
    -
    -
    -
    -
    • -
  • -
    - - - - gtsv(nrhs:dl:du:B:) - -
    -
    -
    -
    -
    -
    -

    DGTSV solves the equation

    - -

    A*X = B,

    - -

    where A is an n by n tridiagonal matrix, by Gaussian elimination with -partial pivoting.

    - -

    Note that the equation A**T*X = B may be solved by interchanging the -order of the arguments DU and DL.

    - -

    This array represents the diagonal of A.

    - -

    http://www.netlib.org/lapack/explore-html/d4/d62/group__double_g_tsolve_ga2bf93f2ddefa5e671866eb2191dc19d4.html#ga2bf93f2ddefa5e671866eb2191dc19d4

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func gtsv(nrhs: Int, dl: inout [Element], du: inout [Element], B: inout [Element]) throws
    - -
    -
    -
    -

    Parameters

    - - - - - - - - - - - - - - - - - - - -
    - - nrhs - - -
    -

    The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0.

    -
    -
    - - dl - - -
    -

    On entry, DL must contain the (n-1) sub-diagonal elements of A. - On exit, DL is overwritten by the (n-2) elements of the - second super-diagonal of the upper triangular matrix U from - the LU factorization of A, in DL(1), …, DL(n-2).

    -
    -
    - - du - - -
    -

    On entry, DU must contain the (n-1) super-diagonal elements of A. - On exit, DU is overwritten by the (n-1) elements of the first - super-diagonal of U.

    -
    -
    - - B - - -
    -

    On entry, the N by NRHS matrix of right hand side matrix B. - On exit, if no error was thrown, the N by NRHS solution matrix X.

    -
    -
    -
    -
    -
    -
    • -
-
-
- -
-
- -
-
-
- -
-
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-
-

AccelerateArray Docs (92% documented)

-
-
-
- -
-
- -
-
-
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Enumerations

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The following enumerations are available globally.

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    - - - - LapackError - -
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    public enum LapackError : Error
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AccelerateArray Docs (92% documented)

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LapackError

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public enum LapackError : Error
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Undocumented

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    - - - - getrf(_:) - -
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    Undocumented

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    case getrf(Int32)
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    Undocumented

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    case getri(Int32)
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    - - - - dgesv(_:) - -
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    Undocumented

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    case dgesv(Int32)
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AccelerateArray Docs (92% documented)

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Extensions

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The following extensions are available globally.

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AccelerateArray Docs (92% documented)

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Array

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public extension Array where Element == Float
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Array extension employing the BLAS framework. -https://developer.apple.com/documentation/accelerate/blas

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Float array extension

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    Multiplies each element of a vector by a constant. -https://developer.apple.com/documentation/accelerate/blas

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    mutating func scal(_ alpha: Element, offset: Int = 0)
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    Multiplies each element of a vector by a constant. -https://developer.apple.com/documentation/accelerate/blas

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    mutating func scal(n: Int32, alpha: Element, incX: Int32 = 1, offset: Int = 0)
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    Modifies a vector in place, setting each element to a given value. -https://developer.apple.com/documentation/accelerate/blas

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    mutating func set(_ alpha: Element, offset: Int = 0)
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    Modifies a vector in place, setting each element to a given value. -https://developer.apple.com/documentation/accelerate/blas

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    mutating func set(n: Int32, alpha: Element, incX: Int32 = 1, offset: Int = 0)
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    Parameters

    - - - - - - - - - - - - - - - - - - - -
    - - n - - -
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    number of items

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    scaling factor

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    stride within x

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    offset w.r.t to the start of the array from which to start the operation

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    Computes the sum of two vectors, scaling each one separately (single-precision). -On return, the contents of vector Y are replaced with the result. -https://developer.apple.com/documentation/accelerate/blas

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    Declaration

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    mutating func axpby(alpha: Element, beta: Element, y: inout [Element], offsetX: Int = 0, offsetY: Int = 0)
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    Parameters

    - - - - - - - - - - - - - - - - - - - -
    - - alpha - - -
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    scaling factor x

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    scaling factor for y

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    - - offsetX - - -
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    offset w.r.t to the start of the array from which to start the operation in x

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    offset w.r.t to the start of the array from which to start the operation in y

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    Computes the sum of two vectors, scaling each one separately (single-precision). -On return, the contents of vector Y are replaced with the result. -https://developer.apple.com/documentation/accelerate/blas

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    Declaration

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    Swift

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    mutating func axpby(n: Int32, alpha: Element, incX: Int32 = 1, beta: Element, y: inout [Element], incY: Int32 = 1, offsetX: Int = 0, offsetY: Int = 0)
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    Parameters

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    - - n - - -
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    number of items

    -
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    - - alpha - - -
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    scaling factor x

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    stride within x

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    - - beta - - -
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    scaling factor for y

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    - - incY - - -
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    stride within y

    -
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    - - offsetX - - -
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    offset w.r.t to the start of the array from which to start the operation in x

    -
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    - - offsetY - - -
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    offset w.r.t to the start of the array from which to start the operation in y

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    - - - - scal(_:offset:) - -
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    Multiplies each element of a vector by a constant. -https://developer.apple.com/documentation/accelerate/blas

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    Declaration

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    Swift

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    mutating func scal(_ alpha: Element, offset: Int = 0)
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    Multiplies each element of a vector by a constant. -https://developer.apple.com/documentation/accelerate/blas

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    Declaration

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    Swift

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    mutating func scal(n: Int32, alpha: Element, incX: Int32 = 1, offset: Int = 0)
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    Modifies a vector in place, setting each element to a given value. -https://developer.apple.com/documentation/accelerate/blas

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    Declaration

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    Swift

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    mutating func set(_ alpha: Element, offset: Int = 0)
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    Modifies a vector in place, setting each element to a given value. -https://developer.apple.com/documentation/accelerate/blas

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    Declaration

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    Swift

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    mutating func set(n: Int32, alpha: Element, incX: Int32 = 1, offset: Int = 0)
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    Parameters

    - - - - - - - - - - - - - - - - - - - -
    - - n - - -
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    number of items

    -
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    - - alpha - - -
    -

    scaling factor

    -
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    - - incX - - -
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    stride within x

    -
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    - - offset - - -
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    offset w.r.t to the start of the array from which to start the operation

    -
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    • -
  • - -
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    Computes the sum of two vectors, scaling each one separately (single-precision). -On return, the contents of vector Y are replaced with the result. -https://developer.apple.com/documentation/accelerate/blas

    - -
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    Declaration

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    Swift

    - 
    mutating func axpby(alpha: Element, beta: Element, y: inout [Element], offsetX: Int = 0, offsetY: Int = 0)
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    Parameters

    - - - - - - - - - - - - - - - - - - - -
    - - alpha - - -
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    scaling factor x

    -
    -
    - - beta - - -
    -

    scaling factor for y

    -
    -
    - - offsetX - - -
    -

    offset w.r.t to the start of the array from which to start the operation in x

    -
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    - - offsetY - - -
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    offset w.r.t to the start of the array from which to start the operation in y

    -
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    • -
  • - -
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    Computes the sum of two vectors, scaling each one separately (single-precision). -On return, the contents of vector Y are replaced with the result. -https://developer.apple.com/documentation/accelerate/blas

    - -
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    Declaration

    -
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    Swift

    - 
    mutating func axpby(n: Int32, alpha: Element, incX: Int32 = 1, beta: Element, y: inout [Element], incY: Int32 = 1, offsetX: Int = 0, offsetY: Int = 0)
    - -
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    Parameters

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    - - n - - -
    -

    number of items

    -
    -
    - - alpha - - -
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    scaling factor x

    -
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    - - incX - - -
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    stride within x

    -
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    - - beta - - -
    -

    scaling factor for y

    -
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    - - incY - - -
    -

    stride within y

    -
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    - - offsetX - - -
    -

    offset w.r.t to the start of the array from which to start the operation in x

    -
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    - - offsetY - - -
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    offset w.r.t to the start of the array from which to start the operation in y

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    - - - - getrf(m:n:) - -
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    SGETRF computes an LU factorization of a general M-by-N matrix A -using partial pivoting with row interchanges.

    - -

    The factorization has the form - A = P * L * U -where P is a permutation matrix, L is lower triangular with unit -diagonal elements (lower trapezoidal if m > n), and U is upper -triangular (upper trapezoidal if m < n).

    - -

    This is the right-looking Level 3 BLAS version of the algorithm.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d8/ddc/group__real_g_ecomputational_ga8d99c11b94db3d5eac75cac46a0f2e17.html#ga8d99c11b94db3d5eac75cac46a0f2e17

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    Declaration

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    Swift

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    mutating func getrf(m: Int, n: Int) throws -> [Int32]
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    Parameters

    - - - - - - - - - - - -
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    number of rows

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    number of columns

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    Return Value

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    The pivot indices; for 1 <= i <= min(M,N), row i of the matrix was interchanged with row IPIV(i).

    -
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    • -
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    - - - - getrf(m:n:ipiv:) - -
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    SGETRF computes an LU factorization of a general M-by-N matrix A -using partial pivoting with row interchanges.

    - -

    The factorization has the form - A = P * L * U -where P is a permutation matrix, L is lower triangular with unit -diagonal elements (lower trapezoidal if m > n), and U is upper -triangular (upper trapezoidal if m < n).

    - -

    This is the right-looking Level 3 BLAS version of the algorithm.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d8/ddc/group__real_g_ecomputational_ga8d99c11b94db3d5eac75cac46a0f2e17.html#ga8d99c11b94db3d5eac75cac46a0f2e17

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    Declaration

    -
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    Swift

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    mutating func getrf(m m_: Int, n n_: Int, ipiv: inout [Int32]) throws
    - -
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    Parameters

    - - - - - - - - - - - - - - - -
    - - m - - -
    -

    number of rows

    -
    -
    - - n - - -
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    number of columns

    -
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    - - ipiv - - -
    -

    the pivot indices; for 1 <= i <= min(m,n), row i of the matrix was interchanged with row ipiv[i].

    -
    -
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    • -
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    - - - - getri() - -
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    SGETRI computes the inverse of a matrix using the LU factorization -computed by DGETRF.

    - -

    This method inverts U and then computes inv(A) by solving the system -inv(A)*L = inv(U) for inv(A).

    - -
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    Declaration

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    Swift

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    mutating func getri() throws
    - -
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    - - - - gesv(B:) - -
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    DGESV computes the solution to a real system of linear equations - A * X = B, -where A is an N-by-N matrix and X and B are N-by-NRHS matrices.

    - -

    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d8/ddc/group__real_g_ecomputational_ga1af62182327d0be67b1717db399d7d83.html#ga1af62182327d0be67b1717db399d7d83

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    Declaration

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    Swift

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    mutating func gesv(B: inout [Element]) throws
    - -
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    - - - - gesv(ipiv:B:) - -
    -
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    SGESV computes the solution to a real system of linear equations - A * X = B, -where A is an N-by-N matrix and X and B are N-by-NRHS matrices.

    - -

    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

    - -

    This array and B must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d8/ddc/group__real_g_ecomputational_ga461f4ac32685a5ca30e293ee73d32920.html#ga461f4ac32685a5ca30e293ee73d32920

    - -
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    Declaration

    -
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    Swift

    - 
    mutating func gesv(ipiv: inout [Int32], B: inout [Element]) throws
    - -
    -
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    • -
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    - - - - gtsv(nrhs:dl:du:B:) - -
    -
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    SGTSV solves the equation

    - -

    A*X = B,

    - -

    where A is an n by n tridiagonal matrix, by Gaussian elimination with -partial pivoting.

    - -

    Note that the equation A**T*X = B may be solved by interchanging the -order of the arguments DU and DL.

    - -

    This array represents the diagonal of A.

    - -

    http://www.netlib.org/lapack/explore-html/d1/d88/group__real_g_tsolve_gae1cbb7cd9c376c9cc72575d472eba346.html#gae1cbb7cd9c376c9cc72575d472eba346

    - -
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    Declaration

    -
    -

    Swift

    - 
    mutating func gtsv(nrhs: Int, dl: inout [Element], du: inout [Element], B: inout [Element]) throws
    - -
    -
    -
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    Parameters

    - - - - - - - - - - - - - - - - - - - -
    - - nrhs - - -
    -

    The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0.

    -
    -
    - - dl - - -
    -

    On entry, DL must contain the (n-1) sub-diagonal elements of A. - On exit, DL is overwritten by the (n-2) elements of the - second super-diagonal of the upper triangular matrix U from - the LU factorization of A, in DL(1), …, DL(n-2).

    -
    -
    - - du - - -
    -

    On entry, DU must contain the (n-1) super-diagonal elements of A. - On exit, DU is overwritten by the (n-1) elements of the first - super-diagonal of U.

    -
    -
    - - B - - -
    -

    On entry, the N by NRHS matrix of right hand side matrix B. - On exit, if no error was thrown, the N by NRHS solution matrix X.

    -
    -
    -
    -
    -
    -
    • -
-
-
-
    -
  • -
    - - - - getrf(m:n:) - -
    -
    -
    -
    -
    -
    -

    DGETRF computes an LU factorization of a general M-by-N matrix A -using partial pivoting with row interchanges.

    - -

    The factorization has the form - A = P * L * U -where P is a permutation matrix, L is lower triangular with unit -diagonal elements (lower trapezoidal if m > n), and U is upper -triangular (upper trapezoidal if m < n).

    - -

    This is the right-looking Level 3 BLAS version of the algorithm.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/dd/d9a/group__double_g_ecomputational_ga0019443faea08275ca60a734d0593e60.html#ga0019443faea08275ca60a734d0593e60

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func getrf(m: Int, n: Int) throws -> [Int32]
    - -
    -
    -
    -

    Parameters

    - - - - - - - - - - - -
    - - m - - -
    -

    number of rows

    -
    -
    - - n - - -
    -

    number of columns

    -
    -
    -
    -
    -

    Return Value

    -

    The pivot indices; for 1 <= i <= min(M,N), row i of the matrix was interchanged with row IPIV(i).

    -
    -
    -
    -
    • -
  • -
    - - - - getrf(m:n:ipiv:) - -
    -
    -
    -
    -
    -
    -

    DGETRF computes an LU factorization of a general M-by-N matrix A -using partial pivoting with row interchanges.

    - -

    The factorization has the form - A = P * L * U -where P is a permutation matrix, L is lower triangular with unit -diagonal elements (lower trapezoidal if m > n), and U is upper -triangular (upper trapezoidal if m < n).

    - -

    This is the right-looking Level 3 BLAS version of the algorithm.

    - -

    This array must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/dd/d9a/group__double_g_ecomputational_ga0019443faea08275ca60a734d0593e60.html#ga0019443faea08275ca60a734d0593e60

    - -
    -
    -

    Declaration

    -
    -

    Swift

    - 
    mutating func getrf(m m_: Int, n n_: Int, ipiv: inout [Int32]) throws
    - -
    -
    -
    -

    Parameters

    - - - - - - - - - - - - - - - -
    - - m - - -
    -

    number of rows

    -
    -
    - - n - - -
    -

    number of columns

    -
    -
    - - ipiv - - -
    -

    the pivot indices; for 1 <= i <= min(m,n), row i of the matrix was interchanged with row ipiv[i].

    -
    -
    -
    -
    -
    -
    • -
  • -
    - - - - getri() - -
    -
    -
    -
    -
    -
    -

    DGETRI computes the inverse of a matrix using the LU factorization -computed by DGETRF.

    - -

    This method inverts U and then computes inv(A) by solving the system -inv(A)*L = inv(U) for inv(A).

    - -

    http://www.netlib.org/lapack/explore-html/dd/d9a/group__double_g_ecomputational_ga56d9c860ce4ce42ded7f914fdb0683ff.html#ga56d9c860ce4ce42ded7f914fdb0683ff

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    mutating func getri() throws
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    DGESV computes the solution to a real system of linear equations - A * X = B, -where A is an N-by-N matrix and X and B are N-by-NRHS matrices.

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    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

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    This array must be in column major storage.

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    http://www.netlib.org/lapack/explore-html/d7/d3b/group__double_g_esolve_ga5ee879032a8365897c3ba91e3dc8d512.html#ga5ee879032a8365897c3ba91e3dc8d512

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    mutating func gesv(B: inout [Element]) throws
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    DGESV computes the solution to a real system of linear equations - A * X = B, -where A is an N-by-N matrix and X and B are N-by-NRHS matrices.

    - -

    The LU decomposition with partial pivoting and row interchanges is -used to factor A as - A = P * L * U, -where P is a permutation matrix, L is unit lower triangular, and U is -upper triangular. The factored form of A is then used to solve the -system of equations A * X = B.

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    This array and B must be in column major storage.

    - -

    http://www.netlib.org/lapack/explore-html/d7/d3b/group__double_g_esolve_ga5ee879032a8365897c3ba91e3dc8d512.html#ga5ee879032a8365897c3ba91e3dc8d512

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    mutating func gesv(ipiv: inout [Int32], B: inout [Element]) throws
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    DGTSV solves the equation

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    A*X = B,

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    where A is an n by n tridiagonal matrix, by Gaussian elimination with -partial pivoting.

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    Note that the equation A**T*X = B may be solved by interchanging the -order of the arguments DU and DL.

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    This array represents the diagonal of A.

    - -

    http://www.netlib.org/lapack/explore-html/d4/d62/group__double_g_tsolve_ga2bf93f2ddefa5e671866eb2191dc19d4.html#ga2bf93f2ddefa5e671866eb2191dc19d4

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    mutating func gtsv(nrhs: Int, dl: inout [Element], du: inout [Element], B: inout [Element]) throws
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    Parameters

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    The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0.

    -
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    - - dl - - -
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    On entry, DL must contain the (n-1) sub-diagonal elements of A. - On exit, DL is overwritten by the (n-2) elements of the - second super-diagonal of the upper triangular matrix U from - the LU factorization of A, in DL(1), …, DL(n-2).

    -
    -
    - - du - - -
    -

    On entry, DU must contain the (n-1) super-diagonal elements of A. - On exit, DU is overwritten by the (n-1) elements of the first - super-diagonal of U.

    -
    -
    - - B - - -
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    On entry, the N by NRHS matrix of right hand side matrix B. - On exit, if no error was thrown, the N by NRHS solution matrix X.

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AccelerateArray

- -

Swift Version -Platform -Build Travis-CI Status -documentation

- -

Swift Array Extensions for the Apple Accelerate Framework.

- -

The goal of this package is to provide slightly easier access to the BLAS, -LAPACK and [vDSP](https://developer.apple.com/documentation/accelerate/vdsp -of the Accelerate framework, -to apply these functions to Float and Double swift arrays.

- -

Out of scope of this package are more convenient wrappers to handle arrays as matrices, which -would include storing strides, shapes and order (row/column major). This would require to add -additional types, which can be easily built on top of this package.

-

Table of Contents

- - - - - -

(generated with DocToc)

- - - - - -

(generated with DocToc)

-

Installation

-

Swift Package Manager

-
dependencies: [
-        .package(url: "https://github.com/dastrobu/AccelerateArray.git", from: "0.3.0"),
-    ],
-
-

Cocoa Pods

- -

Make sure a valid deployment target is setup in the Podfile and add

-
pod 'AccelerateArray', '~> 0'
-
-

Dependencies

- -

There are no dependencies on macOS apart from the Accelerate framework, which is installed by default. -Since Accelerate is also include din iOS and other Apple Platforms, this package should run on all Apple plattforms.

-

Docs

- -

Read the docs.

- -
-
- -
-
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AccelerateArray Docs (92% documented)

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AccelerateArray

- -

Swift Version -Platform -Build Travis-CI Status -documentation

- -

Swift Array Extensions for the Apple Accelerate Framework.

- -

The goal of this package is to provide slightly easier access to the BLAS, -LAPACK and [vDSP](https://developer.apple.com/documentation/accelerate/vdsp -of the Accelerate framework, -to apply these functions to Float and Double swift arrays.

- -

Out of scope of this package are more convenient wrappers to handle arrays as matrices, which -would include storing strides, shapes and order (row/column major). This would require to add -additional types, which can be easily built on top of this package.

-

Table of Contents

- - - - - -

(generated with DocToc)

- - - - - -

(generated with DocToc)

-

Installation

-

Swift Package Manager

-
dependencies: [
-        .package(url: "https://github.com/dastrobu/AccelerateArray.git", from: "0.3.0"),
-    ],
-
-

Cocoa Pods

- -

Make sure a valid deployment target is setup in the Podfile and add

-
pod 'AccelerateArray', '~> 0'
-
-

Dependencies

- -

There are no dependencies on macOS apart from the Accelerate framework, which is installed by default. -Since Accelerate is also include din iOS and other Apple Platforms, this package should run on all Apple plattforms.

-

Docs

- -

Read the docs.

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