General Linear System: Difference between revisions

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== Parameters ==  
== Parameters ==  


n: number of variables and number of equations
$n$: number of variables and number of equations


m: number of nonzero entries in matrix
$m$: number of nonzero entries in matrix


k: ratio between largest and smallest eigenvalues
$k$: ratio between largest and smallest eigenvalues


== Table of Algorithms ==  
== Table of Algorithms ==  
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[[File:Linear System - General Linear System - Space.png|1000px]]
[[File:Linear System - General Linear System - Space.png|1000px]]


== Pareto Frontier Improvements Graph ==  
== Time-Space Tradeoff ==  


[[File:Linear System - General Linear System - Pareto Frontier.png|1000px]]
[[File:Linear System - General Linear System - Pareto Frontier.png|1000px]]

Latest revision as of 08:18, 10 April 2023

Description

A system of linear equations (or linear system) is a collection of one or more linear equations involving the same set of variables. This is typically written in the form $Ax=b$ where $A$ is a matrix and $x, b$ are vectors. In this case, we impose no restrictions on $A$.

Related Problems

Subproblem: Sparse Linear System, Positive Definite, Hermitian Matrix, Non-Definite, Symmetric Matrix, Toeplitz Matrix, Vandermonde Matrix

Related: Positive Definite, Hermitian Matrix, Non-Definite, Symmetric Matrix, Toeplitz Matrix, Vandermonde Matrix

Parameters

$n$: number of variables and number of equations

$m$: number of nonzero entries in matrix

$k$: ratio between largest and smallest eigenvalues

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Gaussian-Jordan Elimination -150 $O(n^{3})$ $O(n^{2})$ Exact Deterministic

Time Complexity Graph

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Space Complexity Graph

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Time-Space Tradeoff

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