`ValidatedNumerics.jl`

is a suite of Julia packages for performing *Validated Numerics* in Julia, i.e. *rigorous* computations with finite-precision floating-point arithmetic, using **interval arithmetic**: quantities are treated as intervals that are propagated throughout a calculation. The final result is an interval that is *guaranteed* to contain the correct result, starting from the given initial data.

The aims of the package are both correctness and good performance.

To install the package, from within Julia do

```
julia> Pkg.add("ValidatedNumerics")
```

Since version 0.9, `ValidatedNumerics.jl`

is a meta-package that automatically installs and reexports the following packages from the `JuliaIntervals`

GitHub organization:

`IntervalArithmetic.jl`

: arithmetic and elementary functions on intervals`IntervalRootFinding.jl`

: find roots of multidimensional functions in a guaranteed way`IntervalOptimisation.jl`

: guaranteed global optimisation of multidimensional functions`IntervalConstraintProgramming.jl`

: characterization of feasible sets of equations and inequalities via constraint propagation`IntervalContractors.jl`

: contractors and reverse (or inverse) functions

Documentation is available separately for each of the above packages.

The IEEE Std 1788-2015 - IEEE Standard for Interval Arithmetic was published in June 2015. We are working towards having `ValidatedNumerics`

be conformant with this standard.

To do so, we have incorporated tests from the excellent ITF1788 test suite, originally written by Marco Nehmeier and Maximilian Kiesner, and converted to a common format and to output tests for Julia by Oliver Heimlich.

- Luis Benet, Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México (UNAM)
- David P. Sanders, Departamento de Física, Facultad de Ciencias, Universidad Nacional Autónoma de México (UNAM)

*Validated Numerics: A Short Introduction to Rigorous Computations*, W. Tucker, Princeton University Press (2010)*Introduction to Interval Analysis*, R.E. Moore, R.B. Kearfott & M.J. Cloud, SIAM (2009)

- MPFI.jl, a Julia wrapper around the MPFI C library, a multiple-precision interval arithmetic library based on MPFR
- Intervals.jl, an alternative implementation of basic interval functions.

This project was begun during a masters' course in the postgraduate programs in Physics and in Mathematics at UNAM during the second semester of 2013 (in Python -- the `ValidiPy`

package), and was reinitiated -- now in Julia -- in the first semester of 2015. We thank the participants of the courses for putting up with the half-baked material and contributing energy and ideas.

Financial support is acknowledged from DGAPA-UNAM PAPIME grants PE-105911 and PE-107114, and DGAPA-UNAM PAPIIT grants IN-117214 and 117117. LB acknowledges support through a *Cátedra Marcos Moshinsky* (2013).
DPS acknowledges a sabbatical fellowship from CONACYT and thanks Alan Edelman and the Julia group at MIT for hosting his sabbatical visit during 2016.

09/18/2014

5 months ago

609 commits