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101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 12$aA Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization /$fby Stefan Rocktäschel
205   $a1st ed. 2020.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Spektrum,$d2020.
215   $a1 online resource (VIII, 70 p. 15 illus.) 
225 1 $aBestMasters,$x2625-3615
311 08$a3-658-29148-6 
327   $aTheoretical basics for solving multiobjective mixed-integer convex optimization problems -- An algorithm for solving this class of optimization problems -- Test instances and numerical results.
330   $aStefan Rocktäschel introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems. He examines particular steps of this algorithm in detail and enhances the basic algorithm with additional modifications that ensure a more precise cover of the efficient set. Finally, he gives numerical results on some test instances. Contents Theoretical basics for solving multiobjective mixed-integer convex optimization problems An algorithm for solving this class of optimization problems Test instances and numerical results Target Groups Students and Lecturers in the field of mathematics and economics Practitioners in the field of multiobjective mixed-integer convex optimization problems The Author Stefan Rocktäschel works as scientific assistant at the Institute forMathematics of Technische Universität Ilmenau, Germany.
410  0$aBestMasters,$x2625-3615
606   $aMathematics
606   $aMathematics$xData processing
606   $aApplications of Mathematics
606   $aComputational Mathematics and Numerical Analysis
615  0$aMathematics.
615  0$aMathematics$xData processing.
615 14$aApplications of Mathematics.
615 24$aComputational Mathematics and Numerical Analysis.
676   $a519.3
700   $aRocktäschel$b Stefan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0963845
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