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Numerical Analysis/LU decomposition concept quiz
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From Wikiversity
<
Numerical Analysis
(Redirected from
Topic:Numerical analysis/LU decomposition concept quiz
)
Choose the best answer for each question:
1
The LU decomposition is
The name of an algorithm to solve a linear system.
A matrix decomposition which writes a matrix as the product of a lower triangular matrix and an upper triangular matrix.
The same as a QR decomposition.
None of those
2
Is it true that any matrix can be factorized to LU form without pivoting?
Yes
No
3
If A = LU then, det(a) equals:
-det(L)*det(U)
(
l
11
∗
l
22
∗
.
.
.
∗
l
n
n
)
∗
(
u
11
∗
u
22
∗
.
.
.
∗
u
n
n
)
{\displaystyle (l_{11}*l_{22}*...*l_{nn})*(u_{11}*u_{22}*...*u_{nn})}
Cannot say anything
None of those
4
The computational cost of the LU decomposition of an
n
×
n
{\displaystyle n\times n}
matrix is:
O(
n
2
{\displaystyle n^{2}}
)
O(
n
3
{\displaystyle n^{3}}
)
O(
n
3
/
3
{\displaystyle n^{3}/3}
)
O(
n
1
/
2
{\displaystyle n^{1/2}}
)
5
The number of operations to solve Ax=b when we know L, U is
O(
2
n
2
{\displaystyle 2n^{2}}
)
O(
n
3
{\displaystyle n^{3}}
)
O(
n
{\displaystyle n}
)
O(
n
1
/
2
{\displaystyle n^{1/2}}
)
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Numerical Linear Algebra
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Numerical Analysis/LU decomposition concept quiz
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