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7
Latest Version
Avg Release Cycle
116 days
Latest Release
2673 days ago

Changelog History

  • v0.31 Changes

    June 02, 2016

    โšก๏ธ Renames "ndarray" to "vector". If you want to update to this version, renaming all "ndarray" instances to "vector" should work (and file an issue if it doesn't).

  • v0.30 Changes

    September 21, 2015

    ๐Ÿš€ This release runs and compiles under the release version of Xcode 7, downloaded from the App Store.

    ๐Ÿš€ Further modifications were made after integrating swix into another project. This release cleans up the code and removes or adds certain functions/operators. Specifically, it

    • gets rid of the *! operator for scoping issues. Instead of A *! x, use A.dot(x).
    • โœ‚ removes function find. The argwhere function is more clear what find/argwhere does.
    • ๐Ÿ‘ allows changing the seed for rand, etc
    • removes swixUseCases and implements swix_ios_app
    • โšก๏ธ updates image functions for Swift 2
    • โž• adds matrix.dot(ndarray).
  • v0.21 Changes

    July 24, 2015

    That is, XCode7b4 compatibility

  • v0.2 Changes

    October 06, 2014

    Significant work has been done to further emulate NumPy. Added functions for stuff I think everyone would find useful, not just me. This library is not under heavy development anymore.

  • v0.1 Changes

    July 22, 2014

    A much cleaner and faster library. It calls the Accelerate library in most cases (all operators, some simple functions and all complex functions) and is nicely structured (matrix depends on ndarray depends on [Double]).

    ๐Ÿšฆ In addition, I have implemented a complex signal processing algorithm from Matlab to iOS with this framework. The conversion was almost line for line. For example, here's a real-world example of my Matlab-iOS conversion:

    swix

    var i = abs(S) \< mu/2S[argwhere(i)] = zeros(i.n) i = argwhere(1 - i) // equivalent to notting every elementS[i] = S[i] - sign(S[i]) \* mu/2;var S0 = zeros((sm, sn)) S0["diag"] = Svar L\_new = U \*! (S0 \*! V)
    

    matlab

    i = abs(S) \> mu/2; S(~i) = 0; S(i) = S(i) - sign(S(i))\*mu/2; S = diag(S); S0(1:min\_snm, 1:min\_snm) = S; L\_new = U \* S0 \* V';
    
  • v0.0.1

    July 14, 2014
  • v0.0.1.beta Changes

    July 09, 2014

    ๐Ÿš€ A very preliminary release that details how to integrate OpenCV/Accelerate and includes ScalarArithmetic and swift-complex. This release relies on some very rough behaviors, such as calling a matrix2d an Array of Arrays. I intend to rewrap matrix and matrix2d into structs and integrate the rest of the code to reflect that.

    ๐Ÿš€ Since this release is beta, the API may change.