dxd Let LER be a lower triangular matrix. We wish to compute det(L) when d=66, and we have the options to use • the Leibniz formula, Laplace expansion, or Corollary 2.22. What is the minimal number of floating-point operations that we need? ● ● a. None of the results apply when L is lower triangular. O b. No cost. We can read the determinant directly off the matrix. c. 1 flop 8 flops
dxd Let LER be a lower triangular matrix. We wish to compute det(L) when d=66, and we have the options to use • the Leibniz formula, Laplace expansion, or Corollary 2.22. What is the minimal number of floating-point operations that we need? ● ● a. None of the results apply when L is lower triangular. O b. No cost. We can read the determinant directly off the matrix. c. 1 flop 8 flops
Computer Networking: A Top-Down Approach (7th Edition)
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Chapter1: Computer Networks And The Internet
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Transcribed Image Text:dxd
Let LER be a lower triangular matrix. We wish to compute det(L) when d=66, and we have
the options to use
• the Leibniz formula,
Laplace expansion, or
Corollary 2.22.
What is the minimal number of floating-point operations that we need?
●
a. None of the results apply when L is lower triangular.
b. No cost. We can read the determinant directly off the matrix.
1 flop
C.
d.
e.
O f.
8 flops
9 flops
65 flops
g. 66 flops
Oh. 65²+65-4290 flops
O i. 66²+66-4422 flops

Transcribed Image Text:Corollary 2.22: determinants of lower triangular matrices
The determinant of a lower triangular matrix L € Rd is given by
d
det (L) = Li
i=1
(2.5)
In particular, L is invertible if and only if we have Lii ‡0 for all i € {1,...,d}.
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