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The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254616" target="_blank" >RIV/61989100:27240/23:10254616 - isvavai.cz</a>

  • Result on the web

    <a href="http://permon.vsb.cz" target="_blank" >http://permon.vsb.cz</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    PERMON 3.19

  • Original language description

    PERMON is a set of solvers combining quadratic programming and domain decomposition methods. It makes use of and extends the PETSc framework for numerical computations. The core of PERMON is formed by the PermonQP package which is able to solve large scale quadratic programming (QP) problems. Among the main applications are contact problems of mechanics and Support Vector Machines (SVM) machine learning. Contact problems can be decomposed by means of TFETI (Total Finite Element Tearing and Interconnecting) non-overlapping domain decomposition method implemented in the PermonFLLOP package. SVM can be solved by PermonSVM. Both PermonFLLOP and PermonSVM make use of PermonQP to solve the resulting QP problems.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    PERMON3.19

  • Technical parameters

    Distribution of the Permon software is under BSD 2-Clause License: Copyright (c) 2014, VŠB – Technical University of Ostrava, PERMON team. All rights reserved.

  • Economical parameters

    Např. spolehlivější detekce lesních požárů a tím následně menší ekonomické ztráty

  • Owner IČO

    61989100

  • Owner name

    Faculty of Electrical Engineering and Computer Science, VŠB-TUO