Definition
· : With Al INI 11-m withGIN andandguapedirectedconsider man un = ,,j)associated A5) /iwith 11quezij ,,The withto tweerubblems subgwapeestask find minimum ispanning a e a.,, .theAll with puspertiesTN following :, commente d1 . cyelio2 a. with /Al.3 1n -=withe .minimum costam with polynonialformulation constraintsnumber of· :min dijyijri si ex, bi=fh1 ifwithVienbiillea si. is =videa 1859VjeNYij 1Vistea . Arj)V/iQyijXij ,19&20 j) A/i eYij , ,j) -Ar/i20Xij ,
Algolithum Knuskal's
· To withthe respectnon-becreasingsouting costauberin Lof -aues twee* emptystart0· Il from an= /(m-1)/I +* doWhile· first itemthe j)select L3/iin· ,51)(19/iL· ,= */T j)(i syelioIf isU· a,↑* * j)T U (i= ,endwhile
Optimality condition
· : The #*free cost twee onlyspanningspanning andis minimum ififaovem : atheit optimalitysatisfies conditionsfollowing :*,V *j) effet obtainedoutwhere the/i is/K&T whenofsijee arean,, **/i j) removedis gram,
Mathematical formulation
GiXi· maxi : ex mt set items11V of,· = ..., itemutility :Eb ofe·Six :ier itemweight :ofa·19Xieg0 Vien Knapsackb capacity·, to item selectedbinally variable when i isequal-Xi one ,,otherwise
Oalgorithm Dynamic mungwamming
· : Table blielementbuild whichwith and bWe columns jD in+1a rowsn ,, theobtained girstrepresents that onlywhenthe utility itemsbe imaximum can forthe the jcapacity equalKnapsackandconsidered ismaximum ofare .The equation boldfollowing maxyb/i ai))1)& b/i jj)(i + 1ci -= - - ,,, i/0if se51111barie :case =,
Problem equivalence
· : The thetosolutionoptimalfind the isKnapsack problem findingsame as· the totheest guaplemaximum fromon s thethe consequently estby construction andcyeliegraph is maximum· a,patle efficientlybe solvedproblem cam toolslongest pogusammingSynamicnatleshoutest nubblems usefuland inare· shipment throughleastwants commodityestdetermineThe topubblem of· a aasatisfy atdemandsto cen
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Domande secondo parziale optimization and data science for management
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Appunti Optimization and data science for management (primo parziale, parte 2)
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Teoria fondamentale primo parziale Optimization and data science for management
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Appunti Optimization and data science for management (primo parziale, parte 1)