11/21/24, 11:43 AM Science Numerical Methods for Engineers - 9780073397924 - Exercise 2 | Quizlet Engineering Numerical Methods for Engineers (7th Edition) Exercise 2 Chapter 21, Page 629 Numerical Methods for Engineers ISBN: 9780073397924 Table of contents Solution Verified 3.8 (5 ratings) Answered 1 month ago file:///C:/Users/user/Downloads/Numerical_Methods_for_Engineers_-_9780073397924_-_Exercise_2___Quizlet.html 1/7 11/21/24, 11:43 AM Numerical Methods for Engineers - 9780073397924 - Exercise 2 | Quizlet 1 of 5 Step 1 (a) 3 3 1 ∫ (1 − e ) dx = (x + e−2x ) 2 0 0 1 −6 1 0 =3+ e −0− e 2 2 1 = 3 + 6 − 0.5 ≈ 2.5012 2e −2x (b) The approximation of the value of the given integral using the trapezoidal rule can be calculated by substituting the corresponding values into formula . The limits are a = 0 and b = 3 and the function of interest is f (x) = 1 − e−2x . I = (3 − 0 ) f (0) + f (3) = 1.5 ⋅ (1 − e0 + 1 − e−6 ) ≈ 1.4963 2 (c) For n = 2, the distance between base points is h= 3−0 = 1.5 2 and the base points are x0 = 0, x1 = 1.5 and x2 = 3. The integral approximation is calculated using as follows. Note that because of (b), we already know that f (0) = 0 and f (3) = 0.99752 f (0) + 2f (1.5) + f (3) 2⋅2 −3 = 0.75 ⋅ (0 + 2 ⋅ (1 − e ) + 0.99752) I = (3 − 0 ) = 2.1735 Explain this step file:///C:/Users/user/Downloads/Numerical_Methods_for_Engineers_-_9780073397924_-_Exercise_2___Quizlet.html 2/7 11/21/24, 11:43 AM Numerical Methods for Engineers - 9780073397924 - Exercise 2 | Quizlet 2 of 5 Step 2 For n = 4, the distance between base points is h= 3−0 = 0.75 4 and the base points are x0 = 0, x1 = 0.75, x2 = 1.5, x3 = 2.25 and x4 = 3. The integral approximation is calculated using as follows. f (0) + 2 (f (0.75) + f (1.5) + f (2.25)) + f (3) 2⋅4 −1.5 −3 = 0.375 ⋅ (0 + 2 ⋅ (1 − e + 1 − e + 1 − e−4.5 ) + 0.99752) I = (3 − 0 ) = 2.4111 (d) The approximation using this method is given by for x0 = 0, x1 = 1.5 and x2 = 3 . f (0) + 4f (1.5) + f (3) 6 −3 = 0.5 ⋅ (0 + 4 ⋅ (1 − e ) + 0.99752) I = (3 − 0 ) = 2.3992 (e) For n = 4, the distance between base points is h= 3−0 = 0.75 4 and the base points are x0 = 0, x1 = 0.75, x2 = 1.5, x3 = 2.25 and x4 = 3. The integral approximation is calculated using as follows. f (0) + 4 (f (0.75) + f (2.25)) + 2f (1.5) + f (3) 3⋅4 −1.5 −4.5 = 0.25 ⋅ (0 + 4 ⋅ (1 − e + 1 − e ) + 2 (1 − e−3 ) + 0.99752) I = (3 − 0 ) = 2.4902 Explain this step file:///C:/Users/user/Downloads/Numerical_Methods_for_Engineers_-_9780073397924_-_Exercise_2___Quizlet.html 3/7 11/21/24, 11:43 AM pla Numerical Methods for Engineers - 9780073397924 - Exercise 2 | Quizlet t s step 3 of 5 Step 3 (f) The approximation using this method is given by for x0 = 0, x1 = 1, x2 = 2 and x3 = 3 . f (0) + 3 (f (1) + f (2)) + f (3) 8 −2 = 0.375 ⋅ (0 + 3 ⋅ (1 − e + 1 − e−4 ) + 0.99752) I = (3 − 0 ) = 2.4512 (g) As demonstrated in (b) part of , calculate the integral for the first two segments using the 1/3 rule and the integral for the other segments using the 3/8 rule. Since n = 5, 3−0 = 0.6 5 h= Hence, the base points are x0 = 0, x1 = 0.6, x2 = 1.2, x3 = 1.8, x4 = 2.4 and x5 = 3. Values of f at those points are f (0) = 0 f (1.2) = 0.909282 f (2.4) = 0.99177 f (0.6) = 0.69881 f (1.8) = 0.972676 f (3) = 0.997521 Now evaluate the two integrals using formulae given by and and determine their sum to obtain the final approximation as shown below. f (0) + 4f (0.6) + f (1.2) 6 = 0.2 ⋅ (0 + 4 ⋅ 0.69881 + 0.909282) = 0.7409 I1 = (1.2 − 0) f (1.2) + 3 (f (1.8) + f (2.4)) + f (3) 8 = 0.225 ⋅ (0.909282 + 4 (0.972676 + 0.99177) + 0.997521) I2 = (3 − 1.2) file:///C:/Users/user/Downloads/Numerical_Methods_for_Engineers_-_9780073397924_-_Exercise_2___Quizlet.html 4/7 11/21/24, 11:43 AM Numerical Methods for Engineers - 9780073397924 - Exercise 2 | Quizlet = 2.197 I = I1 + I2 = 0.7409 + 2.197 = 2.938 Explain this step file:///C:/Users/user/Downloads/Numerical_Methods_for_Engineers_-_9780073397924_-_Exercise_2___Quizlet.html 5/7 11/21/24, 11:43 AM Numerical Methods for Engineers - 9780073397924 - Exercise 2 | Quizlet 4 of 5 Step 4 Finally, determine the percent relative error of each approximation as the ratio of the difference between the true value of the integral and the approximation to the true value. For example, for (b) part, the error is εr = 1.4963 − 2.5012 = −40.18% 2.5012 Other errors are calculated in the same way. method approximation εr (b) 1.4963 −40.18% (c) 2.1735 −13.1% 2.4111 −3.6% (d) 2.3992 −4.08% (e) 2.4902 −0.44% (f) 2.4512 −1.99% n=2 (c) n=4 % file:///C:/Users/user/Downloads/Numerical_Methods_for_Engineers_-_9780073397924_-_Exercise_2___Quizlet.html 6/7 11/21/24, 11:43 AM Numerical Methods for Engineers - 9780073397924 - Exercise 2 | Quizlet (g) 2.3992 17.46% Explain this step 5 of 5 Result method approximation εr (b) 1.4963 −40.18% (c) 2.1735 −13.1% 2.4111 −3.6% (d) 2.3992 −4.08% (e) 2.4902 −0.44% (f) 2.4512 −1.99% (g) 2.3992 17.46% n=2 (c) n=4 file:///C:/Users/user/Downloads/Numerical_Methods_for_Engineers_-_9780073397924_-_Exercise_2___Quizlet.html 7/7