Operations Research 2025
Abstract Submission

175. Recent new features of FICO Xpress APIs and Xpress Mosel

Invited abstract in session WE-9: Modelling and APIs, stream Software for Operations Research.

Wednesday, 16:30-18:00
Room: H15

Authors (first author is the speaker)

1. Susanne Heipcke
Xpress Optimization, FICO

Abstract

This talk gives an overview of recent updates to the FICO Xpress APIs: a completely new set of object-oriented APIs (C++, C#, Java) has been published that make use of modern programming language features. These APIs work directly with Xpress Solver without any need for keeping intermediate copies of problem data.

The Python API for Xpress has been reworked to align it more closely with the other APIs, in particular by introducing linked objects that directly modify the problem, leading to performance improvements for large problems. Besides NumPy, the Python API now also supports SciPy for the efficient creation of large constraint expressions.

We shall also give a short introduction to the newly published Julia API for Xpress that is provided open-source on Github (see https://github.com/fico-xpress/XpressAPI.jl) and through the official Julia registry.

FICO Xpress Mosel has undergone some restructuring of its distribution and build processes, with significant updates to its open source component 'moseltest' (see https://github.com/fico-xpress/mosel). Other new Mosel features include improvements to data handling functionality and support of new Xpress features.

Keywords

Status: accepted

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