Given the function f defined on the interval [0, 1] by f(x) == 2√x+1 for 0x1 √x+1 Consider computing the the first and second derivatives and the integral of f(x) over the interval [0, 1] using the parameters n = 10 and h = 0.1 using the partition x = kh for k = 0, 1, 2, ..., n. Use the following algorithms for you computation 1. Use the centered difference Algorithm to compute the first derivative f'(xk) for k = 0, 1, 2, ..., n and compute the error with the exact derivative. 2. Use the centered difference Algorithm to compute the second derivative f"(xk) for k = 0, 1, 2, ..., n and compute the error with the exact derivative.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Given the function f defined on the interval [0, 1] by
f(x)
==
2√x+1
for
0x1
√x+1
Consider computing the the first and second derivatives and the integral of f(x) over the
interval [0, 1] using the parameters n = 10 and h = 0.1 using the partition x = kh for
k = 0, 1, 2, ..., n.
Use the following algorithms for you computation
1. Use the centered difference Algorithm to compute the first
derivative f'(xk) for k = 0, 1, 2, ..., n and compute the error with
the exact derivative.
2. Use the centered difference Algorithm to compute the second
derivative f"(xk) for k = 0, 1, 2, ..., n and compute the error with
the exact derivative.
Transcribed Image Text:Given the function f defined on the interval [0, 1] by f(x) == 2√x+1 for 0x1 √x+1 Consider computing the the first and second derivatives and the integral of f(x) over the interval [0, 1] using the parameters n = 10 and h = 0.1 using the partition x = kh for k = 0, 1, 2, ..., n. Use the following algorithms for you computation 1. Use the centered difference Algorithm to compute the first derivative f'(xk) for k = 0, 1, 2, ..., n and compute the error with the exact derivative. 2. Use the centered difference Algorithm to compute the second derivative f"(xk) for k = 0, 1, 2, ..., n and compute the error with the exact derivative.
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