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Solving reachability problems by a scalable constrained optimization method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10426475" target="_blank" >RIV/00216208:11320/20:10426475 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/20:00504815

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=6p1QR-R9St" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=6p1QR-R9St</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11081-019-09441-6" target="_blank" >10.1007/s11081-019-09441-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Solving reachability problems by a scalable constrained optimization method

  • Original language description

    In this paper we consider the problem of finding an evolution of a dynamical system that originates and terminates in given sets of states. However, if such an evolution exists then it is usually not unique. We investigate this problem and find a scalable approach for solving it. In addition, the resulting saddle-point matrix is sparse. We exploit the structure in order to reach an efficient implementation of our method. In computational experiments we compare line search and trust-region methods as well as various methods for Hessian approximation.

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Optimization and Engineering

  • ISSN

    1389-4420

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    25

  • Pages from-to

    215-239

  • UT code for WoS article

    000516560400009

  • EID of the result in the Scopus database

    2-s2.0-85067233316