Efficiently finding a single row of the inverse of a symmetric (not Hermitian) complex matrix
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I want to find, at many frequencies $w$, the response at a few nodes to input at one node in a 1-D kinematic system with constraints, i.e. find (part of) $mathbf x$ s.t. $$left(- w^2 mathbf M + jw mathbf C + mathbf Kright) mathbf x = [1,0,0,...]^T$$
where, due to already comprehending the constraint equations, $mathbf M$, $mathbf C$, and $mathbf K$ are all real symmetric, on the order of 10 x 10, but not n- or block-diagonal, or sparse enough to be helpful. $mathbf M$ is positive definite, but the others (and the resulting complex matrix) are not.
Question 1:
Is there some way to take advantage of the symmetry (similar to Cholesky) and/or the limited number of required outputs?
Question 2:
Is there some way to incrementally advance a solution for changing $w$?
numerical-linear-algebra symmetric-matrices
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up vote
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down vote
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I want to find, at many frequencies $w$, the response at a few nodes to input at one node in a 1-D kinematic system with constraints, i.e. find (part of) $mathbf x$ s.t. $$left(- w^2 mathbf M + jw mathbf C + mathbf Kright) mathbf x = [1,0,0,...]^T$$
where, due to already comprehending the constraint equations, $mathbf M$, $mathbf C$, and $mathbf K$ are all real symmetric, on the order of 10 x 10, but not n- or block-diagonal, or sparse enough to be helpful. $mathbf M$ is positive definite, but the others (and the resulting complex matrix) are not.
Question 1:
Is there some way to take advantage of the symmetry (similar to Cholesky) and/or the limited number of required outputs?
Question 2:
Is there some way to incrementally advance a solution for changing $w$?
numerical-linear-algebra symmetric-matrices
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I want to find, at many frequencies $w$, the response at a few nodes to input at one node in a 1-D kinematic system with constraints, i.e. find (part of) $mathbf x$ s.t. $$left(- w^2 mathbf M + jw mathbf C + mathbf Kright) mathbf x = [1,0,0,...]^T$$
where, due to already comprehending the constraint equations, $mathbf M$, $mathbf C$, and $mathbf K$ are all real symmetric, on the order of 10 x 10, but not n- or block-diagonal, or sparse enough to be helpful. $mathbf M$ is positive definite, but the others (and the resulting complex matrix) are not.
Question 1:
Is there some way to take advantage of the symmetry (similar to Cholesky) and/or the limited number of required outputs?
Question 2:
Is there some way to incrementally advance a solution for changing $w$?
numerical-linear-algebra symmetric-matrices
I want to find, at many frequencies $w$, the response at a few nodes to input at one node in a 1-D kinematic system with constraints, i.e. find (part of) $mathbf x$ s.t. $$left(- w^2 mathbf M + jw mathbf C + mathbf Kright) mathbf x = [1,0,0,...]^T$$
where, due to already comprehending the constraint equations, $mathbf M$, $mathbf C$, and $mathbf K$ are all real symmetric, on the order of 10 x 10, but not n- or block-diagonal, or sparse enough to be helpful. $mathbf M$ is positive definite, but the others (and the resulting complex matrix) are not.
Question 1:
Is there some way to take advantage of the symmetry (similar to Cholesky) and/or the limited number of required outputs?
Question 2:
Is there some way to incrementally advance a solution for changing $w$?
numerical-linear-algebra symmetric-matrices
numerical-linear-algebra symmetric-matrices
edited 2 days ago
asked Nov 16 at 16:47
TrollShadowknight
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