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approximate the real root to four decimal places of x3+5x-3=0 (newton raphson method)


Given that y'=x+y with y(0) = 1 find y(0.1).h=0.05 by Euler's modified method.


Use the composite trapezoidal rule to find approximations to 𝐼 = ∫ 𝐬𝐒𝐧𝒙 𝒅𝒙 𝝅


𝟎


with n = 1, 2, 4, and 8. Then perform Romberg extrapolation on the results.

You are given the following integral to evaluate: ∫(πŸ‘π’™ βˆ’ 𝟐)𝒅𝒙.


Without performing any calculations, which numerical method of the following gives the


best accuracy: (1) Trapezoidal rule, (2) Simpson’s 1/3 rule, and (3) Simpson’s 3/8 rule?


Justify your answer

Evaluate the following integral: 𝑰 = ∫ 𝒙𝐬𝐒𝐧(𝒙)𝒅𝒙 𝝅/πŸ’



𝟎



(1) analytically, (2) using single application of the trapezoidal rule, (3) using composite



trapezoidal rule with n = 2 and 4. For the numerical estimates (2) and (3), determine the true



percent relative error based on (1).

Solve the following ordinary differential equation over the interval from x = 0 to 1 using a



step size of 0.25 where y(0) = 1.



π’…π’š



𝒅𝒙 = (𝟏 + πŸπ’™)π’š



𝟐



(1) Analytically.



(2) Using Euler’s method.



(3) Using Heun’s method without iteration.



(4) Using the fourth-order RK method.

Let be a real number. Let x~2.5 be an approximate value of with absolute error



at most 0.01. The function ( )





is evaluated at instead of . Estimate the absolute error


.1.1 Use Euler’s method with step size h = 0.1 to approximate the solution to the initial valueproblem: y'=x y, y(1)=4, atthepointsx=1.1,1.2and1.3,correcttofivedecimal

places.

2.1.2 If the analytical solution to the initial value problem in (2.1.1) is

(4) y = 1 (x2 + 7), determine

4

the %Error in the numerical method where x =1.3

2.2 A chicken cools down from 100 Β°C to 60 Β°C within 10Β 


Assume that the function y(x) = f (x) + g(x) has a single local minimum in the




interval 0 <= x <= 1, at x = xm. Write




(i) a function M-file (called funct.m) and




(ii) a MATLAB statement (using the fminbnd command)




that together will compute xm and the value of y at xm.


Assume that the function y(x) = f (x) + g(x) has a single local minimum in the

interval 0 <= x <= 1, at x = xm. Write

(i) a function M-file (called funct.m) and

(ii) a MATLAB statement (using the fminbnd command)

that together will compute xm and the value of y at xm.


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