This package is a thin, efficient wrapper around Arb - a C library for arbitrary-precision ball arithmetic.

The package is currently in early development. More features and documentation will be added. While we try to avoid it there might be breaking changes.

using Pkg
pkg"add Arblib"

From the Arb documentation:

Arb is a C library for rigorous real and complex arithmetic with arbitrary precision. Arb tracks numerical errors automatically using ball arithmetic, a form of interval arithmetic based on a midpoint-radius representation. On top of this, Arb provides a wide range of mathematical functionality, including polynomials, power series, matrices, integration, root-finding, and many transcendental functions. Arb is designed with efficiency as a primary goal, and is usually competitive with or faster than other arbitrary-precision packages.

The following table indicates how Arb C-types can be translated to the Julia side. Note that all Julia structs additionally contain a precision field storing the precision used. Julia types with Ref in their name are similar to the Ref type in base Julia. They contain a pointer to an object of the corresponding type, as well as a reference to it parent object to protect it from garbage collection.

Indexing of an ArbMatrix returns an Arb whereas indexing ArbRefMatrix returns an ArbRef. An ArbMatrix A can also be index using the ref function , e.g, ref(A, i, j) to obtain an ArbRef.

Additionally, there are multiple union types defined to capture a Ref and non-Ref version. For example Arb and ArbRef are subtypes of ArbLike. Similarly, we provide MagLike, ArfLike, ArbLike, AcbLike, ArbVectorLike, AcbVectorLike, ArbMatrixLike, AcbMatrixLike.

Both ArbPoly and ArbSeries wrap the arb_poly_t type. The difference is that ArbSeries has a fixed length and is therefore suitable for use when Taylor series are computed using the _series functions in Arb. Similar for AcbPoly and AcbSeries.

Example:

julia> A = ArbMatrix([1 2; 3 4]; prec=64)
2×2 ArbMatrix:
 1.000000000000000000  2.000000000000000000
 3.000000000000000000  4.000000000000000000

julia> a = A[1,2]
2.000000000000000000

julia> Arblib.set!(a, 12)
12.00000000000000000

# Memory in A not changed
julia> A
2×2 ArbMatrix:
 1.000000000000000000  2.000000000000000000
 3.000000000000000000  4.000000000000000000

julia> b = ref(A, 1, 2)
2.000000000000000000

julia> Arblib.set!(b, 12)
12.00000000000000000

# Memory in A also changed
julia> A
2×2 ArbMatrix:
 1.000000000000000000  12.00000000000000000
 3.000000000000000000   4.000000000000000000

Arb functions are wrapped by parsing the Arb documentation and applying the following set of rules to "Juliafy" the function names:

1. The parts of a function name which only refer to the type of input are removed since Julia has multiple dispatch to deal with this problem.
2. Functions which modify the first argument get an ! appened.
3. For functions which take a precision argument this arguments becomes a prec keyword argument which is by default set to the precision of the first argument (if applicable).
4. For functions which take a rounding mode argument this arguments becomes a rnd keyword argument which is by default set to RoundNearest.

Example: The function

arb_add_si(arb_t z, const arb_t x, slong y, slong prec)`

becomes

add!(z::ArbLike, x::ArbLike, y::Int; prec = precision(z))

Arb defines a number of functions for setting something to a specific value, for example void arb_set_si(arb_t y, slong x). All of these are renamed to set! and rely on multiple dispatch to choose the correct one. In addition to the ones defined in Arb there is a number of methods of set! added in Arblib to make it more convenient to work with. For example there are setters for Rational and all irrationals defined in Base.MathConstants. For Arb there is also a setter which takes a tuple (a, b) representing an interval and returns a ball containing this interval.

Almost all of the constructors are simple wrappers around these setters. This means that it's usually more informative to look at the methods for set! than for say Arb to figure out what constructors exists. Both Arb and Acb are constructed in such a way that the result will always enclose the input.

Example:

x = Arblib.set!(Arb(), π)
y = Arb(π)

x = Arblib.set!(Arb(), 5//13)
y = Arb(5//13)

x = Arblib.set!(Arb(), (0, π))
y = Arb((0, π))

Here is the naive sine compuation example form the Arb documentation in Julia:

using Arblib

function sin_naive!(res::Arb, x::Arb)
    s, t, u = zero(x), zero(x), zero(x)
    tol = one(x)
    Arblib.mul_2exp!(tol, tol, -precision(tol))
    k = 0
    while true
        Arblib.pow!(t, x, UInt(2k + 1))
        Arblib.fac!(u, UInt(2k + 1))
        Arblib.div!(t, t, u)
        Arblib.abs!(u, t)

        if u ≤ tol
            Arblib.add_error!(s, u)
            break
        end
        if iseven(k)
            Arblib.add!(s, s, t)
        else
            Arblib.sub!(s, s, t)
        end
        k += 1
    end
    Arblib.set!(res, s)
end

let prec = 64
    while true
        x = Arb("2016.1"; prec = prec)
        y = zero(x)
        y = sin_naive!(y, x)
        print("Using $(lpad(prec, 5)) bits, sin(x) = ")
        println(Arblib.string_nice(y, 10))
        y < zero(y) && break
        prec *= 2
    end
end