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        <identifier>oai:meral.edu.mm:recid/5863</identifier>
        <datestamp>2021-12-13T01:13:45Z</datestamp>
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          <dc:title>An EffectiveTechnique to Optimization</dc:title>
          <dc:creator>Daw Phyu Win Nw</dc:creator>
          <dc:creator>Daw Ohnmar Kyu</dc:creator>
          <dc:creator>Daw Aye Aye Thin</dc:creator>
          <dc:description>The purpose of this research is to find optimal solution of non-affine C1 function by
means of constructing respective Lagrange multiplier function together with Fritz John and
Karush-Kuhn- Tucker conditions. These conditions are relating to problems P and Q.
Problem P is the minimization ofconvex functional value with the constrained set ofconvex
inequalities. Problem Q is the minimization of convex functional value with the constrained
set of convex inequalities, linear inequalities and convex equalities. Lagrange multiplier
function method is well-known but its manipulation is rather complicated. An effective way
to handle Lagrange function is presented, in this paper. It is more convenient and more
available than the Simplex method due to G.Dantzig. Most of the functions in this paper is
non-affine C1-functions. Moreover, some illustrative examples are also discussed where
necessary.</dc:description>
          <dc:date>2019-08-01</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000005863</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/5863</dc:identifier>
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