Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking

Scientific publications

Octopeek helps companies to accelerate their digital transformation especially in Big Data and Data Science projects. The various issues of our customers

  • Digital transformation through data, which means making the right decisions thanks to the data and the AI (everything related to customer knowledge for marketing for example (loyalty, churn prediction…), or the issues of predictive maintenance in industry…)
  • Having a Big Data platform to process the data
  • Improving their business performance

    “Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permissionand/or a fee. Request permissions from GECCO ’16, July 20-24, 2016, Denver, CO, USA c 2016 ACM. ISBN 978-1-4503-4206-3/16/07. . . $15.00″

    By Ouassim Ait Elhara, Anne Auger, Nikolaus Hansen
    Submitted on 11 May 2016