### Compatibility

- 1.0.15.35.25.15.04.2
- master5.35.25.15.04.2

- 1.0.1iOSmacOS(Intel)macOS(ARM)LinuxtvOSwatchOS
- masteriOSmacOS(Intel)macOS(ARM)LinuxtvOSwatchOS

Basic math functions for float and double in Swift

- 1.0.15.35.25.15.04.2
- master5.35.25.15.04.2

- 1.0.1iOSmacOS(Intel)macOS(ARM)LinuxtvOSwatchOS
- masteriOSmacOS(Intel)macOS(ARM)LinuxtvOSwatchOS

Basic math functions for float and double arrays in Swift for Mac or Linux, with no dependencies, via the `BaseVector`

protocol. They are generally around 3-5x faster than standard swift loops or maps, since they use pointers, which avoids the overhead of Swift's copy-on-write checking. The following functions are provided (all also have a version suffixed with `_`

and a version prefixed with `sum`

- see below of details):

- Binary functions,:
`sqr`

,`abs`

,`min`

,`max`

,`pow`

,`atan2`

,`copysign`

,`fdim`

,`fmax`

,`fmin`

,`hypot`

,`nextafter`

,`add`

,`sub`

,`mul`

,`div`

,`subRev`

,`divRev`

- Unary functions,:
`acos`

,`acosh`

,`asin`

,`asinh`

,`atan`

,`atanh`

,`cbrt`

,`cos`

,`cosh`

,`erf`

,`erfc`

,`exp`

,`exp2`

,`expm1`

,`log`

,`log10`

,`log1p`

,`log2`

,`logb`

,`nearbyint`

,`rint`

,`sin`

,`sinh`

,`tan`

,`tanh`

,`tgamma`

Use it with Swift Package Manager by adding to your `Package.swift`

:

```
dependencies: [
.package(url:"https://github.com/jph00/BaseMath.git", from: "1.0.0"),
]
```

For reasonable performance, compile with `make`

(which is also required if you make changes to the `gyb`

templates) or use:

```
swift build -Xswiftc -Ounchecked -Xcc -ffast-math -Xcc -O2 -Xcc -march=native
```

This library is used by SwiftyMKL, which adds more optimized versions of the functions from Intel's Performance Libraries, along with various linear algebra and statistical functions.

Math functions from `Foundation`

(which in turn provides the functions available in `math.h`

) are used, except for `sum()`

(and `sum${f}()`

, where `${f}`

is a function name from `math.h`

), which are written in C, since reductions in Swift are currently not vectorized. The standard math operators are also provided, including optimized assignment versions. Functions with `_`

suffix are in-place. In addition the `sqr`

function is provided. Note that `abs`

is called `fabs`

in C versions since that's what it's called in `math.h`

.

Because the library uses pointers, Swift's copy-on-write and `let`

immutability are bypassed. Use the provided `copy()`

method to get a real copy of an `Array`

.

To avoid surprises, you might prefer to use the provided `AlignedStorage`

struct, which supports much of the same functionality as `Array`

, but doesn't use copy-on-write, and aligns memory for (sometimes) better performance. In addition, `UnsafeMutableBufferPointer`

is extended to conform to `BaseVector`

so it also gets the same functionality.

After `import BaseVector`

you'll find that all the standard unary and binary math functions have been added to `Array`

for floats and doubles, along with reduction versions of each which start with `sum`

(e.g `sumabs`

, `sumcos`

, etc).

See the test suite for examples of use (note that tests won't run on Mac due to objective-c xctest issues). For more information on background and implementation details, see [this article] (TBA).