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Right-preconditioning and fixed point linear iterations
Fixed point stability of piecewise linear systemAbout fixed point and dampingConvergence of fixed point iteration for polynomial equationsHow to find fixed point for Hamilton equationsBanach Fixed Point Theorem. Measurable version.Convergence of a particular fixed point iteration schemeFind all real solutions to the following system of equations (involving fixed point iteration)Using Fixed point iterations for solving system of linear equationsBrouwer and Banach fixed point for $xmapsto f(x)= frace^x1+e^x$Locally convergence for Fixed -point iterations
$begingroup$
Given a linear system $Atextbfx=textbfb$, we can express it into the easier-to-solve right-preconditioned form:
$$ AM^-1textbfy=textbfb, quad textbfy= M^-1textbfx $$
On the other hand, the left-preconditioned system is:
$$ M^-1Atextbfx=M^-1textbfb $$
From the literature we know it's easy to show that the left-preconditioned linear system above is equivalent to a fixed-point linear iteration as:
$$ textbfx^(k+1)=(I-M^-1A)textbfx^(k)+M^-1textbfb $$
Or equivalently:
$$ textbfx^(k+1)=textbfx^(k) + M^-1textbfr^(k) $$
My question is: how can I get an update scheme like those starting from the right-preconditioning formulation?
fixed-point-theorems
New contributor
$endgroup$
add a comment |
$begingroup$
Given a linear system $Atextbfx=textbfb$, we can express it into the easier-to-solve right-preconditioned form:
$$ AM^-1textbfy=textbfb, quad textbfy= M^-1textbfx $$
On the other hand, the left-preconditioned system is:
$$ M^-1Atextbfx=M^-1textbfb $$
From the literature we know it's easy to show that the left-preconditioned linear system above is equivalent to a fixed-point linear iteration as:
$$ textbfx^(k+1)=(I-M^-1A)textbfx^(k)+M^-1textbfb $$
Or equivalently:
$$ textbfx^(k+1)=textbfx^(k) + M^-1textbfr^(k) $$
My question is: how can I get an update scheme like those starting from the right-preconditioning formulation?
fixed-point-theorems
New contributor
$endgroup$
add a comment |
$begingroup$
Given a linear system $Atextbfx=textbfb$, we can express it into the easier-to-solve right-preconditioned form:
$$ AM^-1textbfy=textbfb, quad textbfy= M^-1textbfx $$
On the other hand, the left-preconditioned system is:
$$ M^-1Atextbfx=M^-1textbfb $$
From the literature we know it's easy to show that the left-preconditioned linear system above is equivalent to a fixed-point linear iteration as:
$$ textbfx^(k+1)=(I-M^-1A)textbfx^(k)+M^-1textbfb $$
Or equivalently:
$$ textbfx^(k+1)=textbfx^(k) + M^-1textbfr^(k) $$
My question is: how can I get an update scheme like those starting from the right-preconditioning formulation?
fixed-point-theorems
New contributor
$endgroup$
Given a linear system $Atextbfx=textbfb$, we can express it into the easier-to-solve right-preconditioned form:
$$ AM^-1textbfy=textbfb, quad textbfy= M^-1textbfx $$
On the other hand, the left-preconditioned system is:
$$ M^-1Atextbfx=M^-1textbfb $$
From the literature we know it's easy to show that the left-preconditioned linear system above is equivalent to a fixed-point linear iteration as:
$$ textbfx^(k+1)=(I-M^-1A)textbfx^(k)+M^-1textbfb $$
Or equivalently:
$$ textbfx^(k+1)=textbfx^(k) + M^-1textbfr^(k) $$
My question is: how can I get an update scheme like those starting from the right-preconditioning formulation?
fixed-point-theorems
fixed-point-theorems
New contributor
New contributor
New contributor
asked 16 hours ago
S. G. RinaldoS. G. Rinaldo
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