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<item>
  <id>05657102</id>
  <dt>j</dt>
  <an>05657102</an>
  <augroup>
    <au>Pitea, Ariana</au>
    <au>Udri\c ste, Constantin</au>
    <au>Mititelu, \c Stefan</au>
  </augroup>
  <ti>PDI\&PDE-constrained optimization problems with curvilinear functional quotients as objective vectors.</ti>
  <so>Balkan J. Geom. Appl. 14, No. 2, 65-78 (2009).</so>
  <py>2009</py>
  <pu>Balkan Society of Geometers, Bucharest; Geometry Balkan Press, Bucharest</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>PDI\&PDE constraints</ut>
    <ut>multi-objective fractional variational problem</ut>
    <ut>Pareto optimality</ut>
    <ut>quasiinvexity</ut>
    <ut>duality</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>Summary: We introduce and perform a study on the multitime multi-objective fractional variational problem of minimizing a vector of quotients of path independent curvilinear integral functionals (MFP) subject to certain Partial Differential Equations (PDE) and/or Partial Differential Inequations (PDI), using a geometrical language. The paper is organized as follows: \S1 formulates a PDI\&PDE-constrained optimization problem. \S2 states and proves necessary conditions for the optimality of the problem of minimizing a vector of path independent curvilinear integral functionals constrained by PDIs and PDEs. \S3 analyzes necessary efficiency conditions for the problem (MFP), and \S4 studies different types of dualities.</ab>
    <rv></rv>
  </abgroup>
</item>