A few things immediately spring to mind: • Fixed-size arrays • An optimized Matrix type • Swifty syntax for Fourier transforms • A numerical integrator (or diff-eq solver!) • BigInt capabilities
The first of these (fixed-size arrays) will probably require compiler support. The rest can already be done in a library, except I believe they will hit the “generics cannot be specialized across module boundaries” slowdown, and must be explicitly specialized for common numeric types to avoid it. (Has this been fixed yet? Are there plans to?) Nevin On Wed, Aug 3, 2016 at 8:41 AM, Björn Forster <[email protected]> wrote: > Hello Swift community, > to make use of Swift more appealing and useful for science, engineering > and finance and everything else involving actually calculating things, I > think it would be a big step forward if Swift would ship with its own > math/numerics library. > > Wouldn't it be great if Swift would offer functionality similar to Numpy > in its native math lib? It think it would be great to have a "standard" > annotation for vector arithmetic that the Swift community has agreed on and > that scientific packages can build on. > > Which functionality should be covered by a Swift's math lib and where > should be drawn the line? > > Any thoughts? > > (If it is not the right time now to talk this topic, as it is not > mentioned in the goals for Swift 4 by Chris, I apologize for bringing this > up now. But I think then this should be discussed later at some point not > in the infinite future) > > Björn > > _______________________________________________ > swift-evolution mailing list > [email protected] > https://lists.swift.org/mailman/listinfo/swift-evolution > >
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