An alternate for Householder QR linear equation solving for fixed-layout sparse matrix
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This concerns sparse matrices where the sparsity pattern is known beforehand, and where the size is between 5 and up to 50, as the linear solver for a Newton Raphson non linear solver.
For smaller than 5, I use a direct inverse computation, but for problems that are bigger, I currently use a simple dense Householder pivot solver, which get slows really quickly.
I can optimize the layout of the matrix as well, but I'm not sure "usual" sparse matrix solving method could be applied here and if they could be faster than brute-force Householder QR. I feel that knowing the sparsity could be leveraged to solve the problem faster.
linear-algebra numerical-optimization sparse-matrices
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add a comment |
$begingroup$
This concerns sparse matrices where the sparsity pattern is known beforehand, and where the size is between 5 and up to 50, as the linear solver for a Newton Raphson non linear solver.
For smaller than 5, I use a direct inverse computation, but for problems that are bigger, I currently use a simple dense Householder pivot solver, which get slows really quickly.
I can optimize the layout of the matrix as well, but I'm not sure "usual" sparse matrix solving method could be applied here and if they could be faster than brute-force Householder QR. I feel that knowing the sparsity could be leveraged to solve the problem faster.
linear-algebra numerical-optimization sparse-matrices
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"Householder pivot solver"? I know gaussian pivoting and Householder QR, which one is it? Why do you think "usual" sparse solvers would not work? Have you tried? Also a nice feature of iterative methods is you can reuse the preceding solution as a starting point (likely useful in a process that is supposed to be convergent).
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– Jean-Claude Arbaut
Dec 2 '18 at 21:07
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@Jean-ClaudeArbaut Indeed, Householder QR (using Eigen implementation). I'm not sure because I want something faster than dense, and iterative seems contradictory. Still, if you want to implement a sparse iterative solver for something like 4-5 entries per row and columns, what would you go for?
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– Matthieu Brucher
Dec 2 '18 at 21:14
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Since you are using Eigen: eigen.tuxfamily.org/dox/group__TopicSparseSystems.html
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– Jean-Claude Arbaut
Dec 2 '18 at 21:16
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By the way, I didn't notice the numerical-optimization tag: you may have a look at L-BFGS or sparseLM.
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– Jean-Claude Arbaut
Dec 2 '18 at 21:29
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Good pointers, thanks. I usually have only a couple of iterations, but LBFGS may be worth it indeed.
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:37
add a comment |
$begingroup$
This concerns sparse matrices where the sparsity pattern is known beforehand, and where the size is between 5 and up to 50, as the linear solver for a Newton Raphson non linear solver.
For smaller than 5, I use a direct inverse computation, but for problems that are bigger, I currently use a simple dense Householder pivot solver, which get slows really quickly.
I can optimize the layout of the matrix as well, but I'm not sure "usual" sparse matrix solving method could be applied here and if they could be faster than brute-force Householder QR. I feel that knowing the sparsity could be leveraged to solve the problem faster.
linear-algebra numerical-optimization sparse-matrices
$endgroup$
This concerns sparse matrices where the sparsity pattern is known beforehand, and where the size is between 5 and up to 50, as the linear solver for a Newton Raphson non linear solver.
For smaller than 5, I use a direct inverse computation, but for problems that are bigger, I currently use a simple dense Householder pivot solver, which get slows really quickly.
I can optimize the layout of the matrix as well, but I'm not sure "usual" sparse matrix solving method could be applied here and if they could be faster than brute-force Householder QR. I feel that knowing the sparsity could be leveraged to solve the problem faster.
linear-algebra numerical-optimization sparse-matrices
linear-algebra numerical-optimization sparse-matrices
edited Dec 2 '18 at 21:12
Matthieu Brucher
asked Dec 2 '18 at 20:58
Matthieu BrucherMatthieu Brucher
1063
1063
$begingroup$
"Householder pivot solver"? I know gaussian pivoting and Householder QR, which one is it? Why do you think "usual" sparse solvers would not work? Have you tried? Also a nice feature of iterative methods is you can reuse the preceding solution as a starting point (likely useful in a process that is supposed to be convergent).
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:07
$begingroup$
@Jean-ClaudeArbaut Indeed, Householder QR (using Eigen implementation). I'm not sure because I want something faster than dense, and iterative seems contradictory. Still, if you want to implement a sparse iterative solver for something like 4-5 entries per row and columns, what would you go for?
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:14
$begingroup$
Since you are using Eigen: eigen.tuxfamily.org/dox/group__TopicSparseSystems.html
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:16
$begingroup$
By the way, I didn't notice the numerical-optimization tag: you may have a look at L-BFGS or sparseLM.
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:29
$begingroup$
Good pointers, thanks. I usually have only a couple of iterations, but LBFGS may be worth it indeed.
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:37
add a comment |
$begingroup$
"Householder pivot solver"? I know gaussian pivoting and Householder QR, which one is it? Why do you think "usual" sparse solvers would not work? Have you tried? Also a nice feature of iterative methods is you can reuse the preceding solution as a starting point (likely useful in a process that is supposed to be convergent).
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:07
$begingroup$
@Jean-ClaudeArbaut Indeed, Householder QR (using Eigen implementation). I'm not sure because I want something faster than dense, and iterative seems contradictory. Still, if you want to implement a sparse iterative solver for something like 4-5 entries per row and columns, what would you go for?
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:14
$begingroup$
Since you are using Eigen: eigen.tuxfamily.org/dox/group__TopicSparseSystems.html
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:16
$begingroup$
By the way, I didn't notice the numerical-optimization tag: you may have a look at L-BFGS or sparseLM.
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:29
$begingroup$
Good pointers, thanks. I usually have only a couple of iterations, but LBFGS may be worth it indeed.
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:37
$begingroup$
"Householder pivot solver"? I know gaussian pivoting and Householder QR, which one is it? Why do you think "usual" sparse solvers would not work? Have you tried? Also a nice feature of iterative methods is you can reuse the preceding solution as a starting point (likely useful in a process that is supposed to be convergent).
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:07
$begingroup$
"Householder pivot solver"? I know gaussian pivoting and Householder QR, which one is it? Why do you think "usual" sparse solvers would not work? Have you tried? Also a nice feature of iterative methods is you can reuse the preceding solution as a starting point (likely useful in a process that is supposed to be convergent).
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:07
$begingroup$
@Jean-ClaudeArbaut Indeed, Householder QR (using Eigen implementation). I'm not sure because I want something faster than dense, and iterative seems contradictory. Still, if you want to implement a sparse iterative solver for something like 4-5 entries per row and columns, what would you go for?
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:14
$begingroup$
@Jean-ClaudeArbaut Indeed, Householder QR (using Eigen implementation). I'm not sure because I want something faster than dense, and iterative seems contradictory. Still, if you want to implement a sparse iterative solver for something like 4-5 entries per row and columns, what would you go for?
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:14
$begingroup$
Since you are using Eigen: eigen.tuxfamily.org/dox/group__TopicSparseSystems.html
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:16
$begingroup$
Since you are using Eigen: eigen.tuxfamily.org/dox/group__TopicSparseSystems.html
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:16
$begingroup$
By the way, I didn't notice the numerical-optimization tag: you may have a look at L-BFGS or sparseLM.
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:29
$begingroup$
By the way, I didn't notice the numerical-optimization tag: you may have a look at L-BFGS or sparseLM.
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:29
$begingroup$
Good pointers, thanks. I usually have only a couple of iterations, but LBFGS may be worth it indeed.
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:37
$begingroup$
Good pointers, thanks. I usually have only a couple of iterations, but LBFGS may be worth it indeed.
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:37
add a comment |
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$begingroup$
"Householder pivot solver"? I know gaussian pivoting and Householder QR, which one is it? Why do you think "usual" sparse solvers would not work? Have you tried? Also a nice feature of iterative methods is you can reuse the preceding solution as a starting point (likely useful in a process that is supposed to be convergent).
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:07
$begingroup$
@Jean-ClaudeArbaut Indeed, Householder QR (using Eigen implementation). I'm not sure because I want something faster than dense, and iterative seems contradictory. Still, if you want to implement a sparse iterative solver for something like 4-5 entries per row and columns, what would you go for?
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:14
$begingroup$
Since you are using Eigen: eigen.tuxfamily.org/dox/group__TopicSparseSystems.html
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:16
$begingroup$
By the way, I didn't notice the numerical-optimization tag: you may have a look at L-BFGS or sparseLM.
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 21:29
$begingroup$
Good pointers, thanks. I usually have only a couple of iterations, but LBFGS may be worth it indeed.
$endgroup$
– Matthieu Brucher
Dec 2 '18 at 21:37