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--- | ||
tags: | ||
- Ottimizzazione | ||
- Ottimizzazione/FirstItinere | ||
--- |
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--- | ||
tags: | ||
- Ottimizzazione | ||
- Ottimizzazione/FirstItinere | ||
--- |
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--- | ||
tags: | ||
- Ottimizzazione | ||
- Ottimizzazione/FirstItinere | ||
--- |
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--- | ||
tags: | ||
- Ottimizzazione/FirstItinere | ||
aliases: | ||
- Metodo dei Tagli | ||
- Gomory | ||
--- |
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--- | ||
tags: | ||
- Ottimizzazione | ||
- Ottimizzazione/FirstItinere | ||
--- |
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--- | ||
tags: | ||
- Ottimizzazione | ||
- Ottimizzazione/FirstItinere | ||
--- | ||
# Classificazione | ||
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- Ottimizzazione Matematica: problemi con 1 solo decisore, 1 solo obiettivo | ||
- Ottimizzazione Multiobiettivo: 1 solo decisore, tanti obiettivi | ||
- Game Theory: problemi con tanti decisori, ognuno vuole max profitto | ||
- Ottimizzazione stocastica: problemi con dati incerti | ||
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I problemi di ottimizzazione hanno una struttura comune: un obiettivo e delle restrizioni. | ||
L'obiettivo è il criterio di scelta da seguire, le restrizioni sono i vincoli o le limitazioni delle possibili scelte. | ||
**Ottimizzare** vuol dire la scelta migliore per soddisfare l'obiettivo, rispettando le restrizioni. | ||
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# Ottimizzazione Matematica | ||
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Un problema di ottimizzazione è del tipo | ||
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```start-multi-column | ||
ID: ID_7b4z | ||
Number of Columns: 3 | ||
Largest Column: standard | ||
``` | ||
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$min f(x)$ | ||
$x \in X$ | ||
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--- column-end --- | ||
oppure | ||
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--- column-end --- | ||
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$max f(x)$ | ||
$x \in X$ | ||
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--- end-multi-column | ||
con $X \subseteq \mathbb{R}^n$ regione ammissibile (insieme scelte/ dei vincoli) | ||
$x \in X$ soluzione ammissibile | ||
$f:X\to \mathbb{R}$ funzione obiettivo | ||
$f(x) = f(x_{1},x_{2},\dots,x_{n})$ | ||
Ogni problema di massimo può essere scritto come problema di minimo. |
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--- | ||
tags: | ||
- Ottimizzazione | ||
- Ottimizzazione/FirstItinere | ||
--- | ||
# Classificazione dei Problemi | ||
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Problemi lineari: la funzione obiettivo e i vincoli sono funzioni lineari, cioè del tipo: | ||
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$a_{1}x_{1}+a_{2}x_{2}+\dots+a_{n}x_{n}$ | ||
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Cioè vi è la totale assenza di funzioni non lineari. |
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--- | ||
tags: | ||
- Ottimizzazione | ||
- Ottimizzazione/FirstItinere | ||
--- |
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--- | ||
tags: [] | ||
--- | ||
| Primale | Duale | | ||
| ----------- | --------- | | ||
| \#variabili | \#vincoli | | ||
|bla |bla | | ||
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bla |
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--- | ||
title: Ottimizzazione | ||
--- | ||
# Ottimizzazione | ||
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Appunti di Ottimizzazione A.A. 2023/2024 del corso di laurea magistrale LM-18 in Informatica UniCT, by [Darakuu](https://github.com/Darakuu). | ||
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Non intendono e non vogliono sostituire libri, slide ufficiali e quant'altro. | ||
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Questa pagina funge da indice. | ||
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wip | ||
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> [!def] test callouts personalizzati | ||
> Contents | ||
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> [!application] | ||
> Contents | ||
$inline latex \int _{2}^\infty 5x_{2}\, dx$ | ||
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$$ | ||
\begin{align} | ||
Multiline \\ | ||
Latex \\ | ||
\begin{bmatrix} | ||
5 & 2 & 4 & 5 & 7 \\ | ||
2 & 4 & 3 & 2 & 1 | ||
\end{bmatrix} | ||
\end{align} | ||
$$ |
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@use "./base.scss"; | ||
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// put your custom CSS here! | ||
.callout[data-callout="application"] { | ||
--callout-color: 193, 239, 193; | ||
--callout-icon: lucide-wrench; | ||
} | ||
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.callout[data-callout="definition"] { | ||
--callout-color: 160, 30, 40; | ||
--callout-icon: lucide-book; | ||
} | ||
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.callout[data-callout="def"] { | ||
--callout-color: 160, 30, 40; | ||
--callout-icon: lucide-book; | ||
} |