Cohen; Lee and Song ( Linear Programming): Difference between revisions

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(Created page with "== Time Complexity == $O(n^{max(omega, {2.5}-alpha/{2}, {13}/{6})}*polylog(n, m, L))$, where omega is the exponent on matrix multiplication, alpha is the dual exponent of matrix multiplication; currently $O(n^{2.37285956})$ == Space Complexity == $O(nm+n^{2})$? words (can be easily derived?) == Description == == Approximate? == Exact == Randomized? == No, deterministic == Model of Computation == Word RAM == Year == 2018 == Reference == https://ar...")
 
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$O(nm+n^{2})$? words
$O(nm+n^{2})$? words


(can be easily derived?)
(Not entirely sure about this, but it seems like each iteration manipulates a constant number of $O(m+n)\times O(n)$ matrices, along with a constant number of vectors of size $O(m+n)$, all of whose elements are of size $O(1)$ words.)


== Description ==  
== Description ==  

Latest revision as of 08:33, 10 April 2023

Time Complexity

$O(n^{max(omega, {2.5}-alpha/{2}, {13}/{6})}*polylog(n, m, L))$, where omega is the exponent on matrix multiplication, alpha is the dual exponent of matrix multiplication; currently $O(n^{2.37285956})$

Space Complexity

$O(nm+n^{2})$? words

(Not entirely sure about this, but it seems like each iteration manipulates a constant number of $O(m+n)\times O(n)$ matrices, along with a constant number of vectors of size $O(m+n)$, all of whose elements are of size $O(1)$ words.)

Description

Approximate?

Exact

Randomized?

No, deterministic

Model of Computation

Word RAM

Year

2018

Reference

https://arxiv.org/abs/1810.07896