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Convergence rates for sums-of-squares hierarchies with correlative sparsity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00374755" target="_blank" >RIV/68407700:21230/25:00374755 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s10107-024-02071-6" target="_blank" >https://doi.org/10.1007/s10107-024-02071-6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10107-024-02071-6" target="_blank" >10.1007/s10107-024-02071-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Convergence rates for sums-of-squares hierarchies with correlative sparsity

  • Original language description

    This work derives upper bounds on the convergence rate of the moment-sum-of-squares hierarchy with correlative sparsity for global minimization of polynomials on compact basic semialgebraic sets. The main conclusion is that both sparse hierarchies based on the Schmudgen and Putinar Positivstellensatze enjoy a polynomial rate of convergence that depends on the size of the largest clique in the sparsity graph but not on the ambient dimension. Interestingly, the sparse bounds outperform the best currently available bounds for the dense hierarchy when the maximum clique size is sufficiently small compared to the ambient dimension and the performance is measured by the running time of an interior point method required to obtain a bound on the global minimum of a given accuracy.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Mathematical Programming

  • ISSN

    0025-5610

  • e-ISSN

    1436-4646

  • Volume of the periodical

    209

  • Issue of the periodical within the volume

    1-2

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    39

  • Pages from-to

    435-473

  • UT code for WoS article

    001190454600001

  • EID of the result in the Scopus database

    2-s2.0-85183794961