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style from \"./TablePanel.less\";\r\n\r\nexport default function (props) {\r\n return (\r\n
\r\n
\n Ho rimosso il rumore in sottofondo da tutti i video di Ricerca Operativa!\n
\n \n\n La funzione obiettivo è la funzione con valore noto sconosciuto:\n
\n\n
\n I problemi di ottimizzazione lineare sono problemi che cercano di
\n La funzione da
\n Il vettore dei suoi coefficienti è detto
\n Equazioni e disequazioni a cui devono sottostare le incognite perchè esse formino una soluzione valida.\n
\n\n I loro coefficienti sono contenuti nella matrice
\n La soluzione di un problema, ricavabile dal prodotto
\n Spesso, la funzione obiettivo è indicata con il nome
\n L'insieme che racchiunde tutte le soluzioni ammissibili di un problema.\n
\n\n In particolare, il valore ottimo è un vertice del poliedro, detto vertice ottimo.\n
\n\n Può essere
\n Funzione della funzione obiettivo che restituisce la direzione del suo aumento più veloce.\n
\n\n
\n Un problema con:\n
\n\n Un problema con:\n
\n\n Un problema con:\n
\n\n Applica questa conversione a ogni equazione nel sistema:\n
\n\n
\n Aggiungi una variabile slack
\n
\n
\n Sdoppia ogni variabile non-vincolata in due variabili con vincolo di non-negatività:\n
\n\n
\n Un modo per rappresentare sistemi in forma standard, anche noto come matrice equivalente completa del sistema.\n
\nTN | \n||||
---|---|---|---|---|
\n Variabili che hanno tutti 0 e un solo 1 nella loro colonna del tableau.\n
\n\n La loro controparte sono le variabili fuori base, che hanno qualsiasi altro valore.\n
\n\n Un algoritmo per
\n Da esso si può anche ricavare un vertice ottimo ammissibile.
\n C'è la possibilità che ne esistano anche altri: quello ottenuto dipende da come è stata effettuata la scelta delle variabili entranti.\n
\n Questa è la soluzione passo per passo del problema 3 del file Ex_LP_testo
.\n
\n Una soluzione con almeno una variabile di valore
\n Senza Regola di Bland e in presenza di vincoli ridondanti si rischia di trovarsi a fare pivot infiniti.\n
\n\n Un estensione del Simplex per permettere la risoluzione di problemi la cui origine non è una soluzione ammissibile.\n
\n\n Prevede l'introduzione di un problema ausiliario, le cui incognite sono dette artificiali.\n
\n\n Il vettore delle incognite artificiali è solitamente chiamato
\n Una versione semplificata di un problema nella quale si ignora la violazione di uno o più vincoli.\n
\n\n Un rilassamento che permette di misurare di quanto i vincoli vengono violati.\n
\n\n I vincoli, moltiplicati per coefficienti di rilassamento, vengono inseriti nella funzione obiettivo.\n
\n\n Il vettore dei coefficienti di rilassamento solitamente è indicato con
\n Il sistema:\n
\n\n diventa:\n
\n\n Il sistema che
\n Possiamo trasporre il tableau e sostituire le variabili
\n I maggiori e minori dei vincoli diventeranno maggiori e minori delle variabili e viceversa.\n
\n\n Una disuguaglianza lineare
\n
\n Il teorema che dimostra l'equivalenza tra primale e duale.\n
\n\n Se uno dei due problemi è finito, la soluzione di uno coincide con la soluzione dell'altro.\n
\n\n
\n
\n Il teorema che dimostra che il valore della funzione obiettivo del duale (di un qualsiasi tableau) è sempre
\n
\n Il teorema che ci permette di passare dalla soluzione del duale alla soluzione del primale.
\n Si deriva combinando le seguenti condizioni:\n
\n\n Ne risulta che una soluzione è ottima se e solo se:\n
\n\n Un'estensione al Simplex primale che opera sul problema duale.\n
\n\n Funziona esattamente come il Simplex primale, ma opera sulle righe invece che sulle colonne, cercando di rendere
\n Un procedimento che misura di quanto può variare il termine noto di un vincolo