Division requires a larger computational budget than multiplication (computers are just like us, we hate long division!), which can cause issues in responsiveness of user interfaces, framerates in videogames, and the time needed to run simulations for important engineering problems. (a) Find the linearization, L(x), of f(x) = for x near 1. (b) It can often save significant time to use the above linearization to approximate x с ≈ CL(x), x since multiplication is computationally cheaper than division. For numbers x ≈ 1 the loss in accuracy is negligible compared to the gain in efficiency.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Question
3. Division requires a larger computational budget than multiplication (computers are just like us,
we hate long division!), which can cause issues in responsiveness of user interfaces, framerates in
videogames, and the time needed to run simulations for important engineering problems.
1
(a) Find the linearization, L(x), of f(x)
=
for x near 1.
X
(b) It can often save significant time to use the above linearization to approximate
с
1
с
X
• (#2)
≈ cL(x),
since multiplication is computationally cheaper than division. For numbers x ≈ 1 the loss in
accuracy is negligible compared to the gain in efficiency.
Transcribed Image Text:3. Division requires a larger computational budget than multiplication (computers are just like us, we hate long division!), which can cause issues in responsiveness of user interfaces, framerates in videogames, and the time needed to run simulations for important engineering problems. 1 (a) Find the linearization, L(x), of f(x) = for x near 1. X (b) It can often save significant time to use the above linearization to approximate с 1 с X • (#2) ≈ cL(x), since multiplication is computationally cheaper than division. For numbers x ≈ 1 the loss in accuracy is negligible compared to the gain in efficiency.
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