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 №  Condition free/or 0.5$
m55347Repeat Exercise 18 using the results of Exercise 8. In Exercise 18 a. y(0.54) and y(0.94) b. y(1.25) and y(1.93) c. y(1.3) and y(2.93) d. y(0.54) and y(0.94) buy
m55349Repeat Exercise 2 using ω = 1.3. In Exercise 2 a. 4x1 + x2 − x3 = 5, −x1 + 3x2 + x3 = −4, 2x1 + 2x2 + 5x3 = 1. b. −2x1+ x2 + 1/2 x3 = 4, x1−2x2 - 1/2 x3 = −4, x2 + 2x3 = 0. c. 4x1 + x2 − x3 + x4 = −2, x1 + 4x2 − x3 − x4 = −1, −x1 − x2 + 5x3 + x4 = 0, x1 − x2 + x3 + 3x4 = 1. d. 4x1 − x2 = 0, −x1 + 4x2 − x3 = 5, − x2 + 4x3 = 0, + 4x4 − x5 = 6, − x4 + 4x5 − x6 = −2, − x5 + 4x6 = 6. buy
m55350Repeat Exercise 2 using Algorithm 6.2. In Exercise 2 a. 13x1 + 17x2 + x3 = 5, x2 + 19x3 = 1, 12x2 − x3 = 0 b. x1 + x2 − x3 = 0, 12x2 − x3 = 4, 2x1 + x2 + x3 = 5 c. 5x1 + x2 − 6x3 = 7, 2x1 + x2 − x3 = 8, 6x1 + 12x2 + x3 = 9 d. x1 − x2 + x3 = 5, 7x1 + 5x2 − x3 = 8, 2x1 + x2 + x3 = 7 buy
m55351Repeat Exercise 2 using complete pivoting. In Exercise 2 a. 13x1 + 17x2 + x3 = 5, x2 + 19x3 = 1, 12x2 − x3 = 0 b. x1 + x2 − x3 = 0, 12x2 − x3 = 4, 2x1 + x2 + x3 = 5 c. 5x1 + x2 − 6x3 = 7, 2x1 + x2 − x3 = 8, 6x1 + 12x2 + x3 = 9 d. x1 − x2 + x3 = 5, 7x1 + 5x2 − x3 = 8, 2x1 + x2 + x3 = 7 buy
m55352Repeat Exercise 2 using four-digit rounding arithmetic. In Exercise 2 a. f (x) = ln x, x0 = 1.0, h = 0.4 b. f (x) = x + ex , x0 = 0.0, h = 0.4 c. f (x) = 2x sin x, x0 = 1.05, h = 0.4 d. f (x) = x3 cos x, x0 = 2.3, h = 0.4 buy
m55353Repeat Exercise 2 using Heun s method. In Exercise 2 buy
m55354Repeat Exercise 2 using Simpson s rule. In Exercise 2 buy
m55355Repeat Exercise 2 using Taylor s method of order four. In Exercise 2 a. y = et−y, 0≤ t ≤ 1, y(0) = 1, with h = 0.5 b. y = (1 + t)/(1 + y), 1≤ t ≤ 2, y(1) = 2, with h = 0.5 c. y = −y + ty1/2, 2≤ t ≤ 3, y(2) = 2, with h = 0.25 d. y = t−2(sin 2t − 2ty), 1≤ t ≤ 2, y(1) = 2, with h = 0.25 buy
m55356Repeat Exercise 2 using the Adams fourth-order predictor-corrector method. In Exercise 2 buy
m55357Repeat Exercise 2 using the algorithm developed in Exercise 5. In Exercise 2 a. u 1 = u1 − u2 + 2, u1(0) = −1; u 2 = −u1 + u2 + 4t, u2(0) = 0; 0 ≤ t ≤ 1; h = 0.1; buy
m55358Repeat Exercise 2 using the Crank-Nicolson Algorithm. Repeat exercise 2 buy
m55359Repeat Exercise 2 using the Gauss-Seidel method. In Exercise 2 a. 4x1 + x2 − x3 = 5, −x1 + 3x2 + x3 = −4, 2x1 + 2x2 + 5x3 = 1. b. −2x1+ x2 + 1/2 x3 = 4, x1−2x2 - 1/2 x3 = −4, x2 + 2x3 = 0. c. 4x1 + x2 − x3 + x4 = −2, x1 + 4x2 − x3 − x4 = −1, −x1 − x2 + 5x3 + x4 = 0, x1 − x2 + x3 + 3x4 = 1. d. 4x1 − x2 − x4 = 0, −x1 + 4x2 − x3 − x5 = 5, − x2 + 4x3 − x6 = 0, −x1 + 4x4 − x5 = 6, − x2 − x4 + 4x5 − x6 = −2, − x3 − x5 + 4x6 = 6. buy
m55360Repeat Exercise 2 using the Inverse Power method. In exercise Find the first three iterations obtained by the Power method applied to the following matrices. a. Use x(0) = (1, 2, 1)t. b. Use x(0) = (1, 1, 0, 1)t. c. Use x(0) = (1, 1, 0,−3)t. d. Use x(0) = (0, 0, 0, 1)t. buy
m55361Repeat Exercise 2 using the Midpoint method. In Exercise 2 buy
m55362Repeat Exercise 2 using the Midpoint rule. In Exercise 2 buy
m55363Repeat Exercise 2 using the modified Newton s method described in Eq. (2.13). Is there an improvement in speed or accuracy over Exercise 2? buy
m55364Repeat Exercise 2 using the Runge-Kutta fourth-order method. In Exercise 2 buy
m55365Repeat Exercise 2 using the Runge-Kutta method of order four. In Exercise 2 buy
m55366Repeat Exercise 2 using the Trapezoidal Algorithm with TOL = 10−5. In Exercise 2 buy
m55367Repeat Exercise 3 using Heun s method. In Exercise 3 buy
 
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