Dinitz (with dynamic trees) ( Maximum Flow): Difference between revisions

From Algorithm Wiki
Jump to navigation Jump to search
(Created page with "== Time Complexity == $O(VELogU)$ == Space Complexity == $O(E)$ words (can be derived?) == Description == == Approximate? == Exact == Randomized? == No, deterministic == Model of Computation == Word RAM == Year == 1973 == Reference == https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=1690549")
 
No edit summary
 
Line 1: Line 1:
== Time Complexity ==  
== Time Complexity ==  


$O(VELogU)$
$O(VE \log U)$


== Space Complexity ==  
== Space Complexity ==  
Line 7: Line 7:
$O(E)$ words
$O(E)$ words


(can be derived?)
(The dynamic tree should take $O(E)$ extra space, and that should be the only extra space (if any) compared to Dinitz's original algorithm. Thus, this requires $O(E)$ space.)


== Description ==  
== Description ==  

Latest revision as of 09:33, 10 April 2023

Time Complexity

$O(VE \log U)$

Space Complexity

$O(E)$ words

(The dynamic tree should take $O(E)$ extra space, and that should be the only extra space (if any) compared to Dinitz's original algorithm. Thus, this requires $O(E)$ space.)

Description

Approximate?

Exact

Randomized?

No, deterministic

Model of Computation

Word RAM

Year

1973

Reference

https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=1690549