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Use the secant method on the circle function
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- 2. Answer the question completely and write down the given, required and formula that had been used. Provide graph and accurate/comple solution. The value are: V- 1 X- 5 W- 7 Y- 6 Z- 8arrow_forwardCompletely solve. Box the final answer. WRITE LEGIBLY OR TYPEWRITE THE SOLUTIONS. Prove that the steady-state solution is yp = 4.8 sin 3t - 7.6 cos 3arrow_forwardx^2-5x^(1/3)+1=0 Has a root between 2 and 2.5 use bisection method to three iterations by hand.arrow_forward
- 1-x -2-x Evaluate So S* S* xyzdzdydx 0.arrow_forward2-the pivot value is the point of the intersection of the row of the leaving variable and the column of the solution. * true falsearrow_forward10. Find the solution set of the system of linear equations represented by the following augmented matrix 1 -1 0 1 -2 3 1. 0 1. -1 1.arrow_forward
- Solve the Following Linear Equation Using Gauss Method: 3X₁ + 2X₂+ 100X; = 105 -X₁+3X₂ + 100X3 = 102 X₁ + 2X₂ X3 = 2 a) (0,0,0) b) (1,1,1) d) (5,5,5) c) (10.10.10)arrow_forwardPlease show the complete step-by-step solution. Choose the answer from the choices below. I’ll rate you with an upvote later. Thank you.arrow_forwardConsider the function p(x) = x² - 4x³+3x²+x-1. Use Newton-Raphson's method with initial guess of 3. What's the updated value of the root at the end of the second iteration? Type your answer...arrow_forward
- T(1)=199.583 T(2)=198.67 T(3)=195.7569 Solve Using Finite Elemental method only need step wise step and correct ansarrow_forwardUse Gauss Elimination method to solve 0.3x₁ +0.52x₂ + X3 = -0.01 0.5x + x2 0.1x₁ +0.3 x₂ +0.5x3 = X2 +1.9x3 = 0.67 -0.44arrow_forwardFor the DE: dy/dx=2x-y y(0)=2 with h=0.2, solve for y using each method below in the range of 0 <= x <= 3: Q1) Using Matlab to employ the Euler Method (Sect 2.4) Q2) Using Matlab to employ the Improved Euler Method (Sect 2.5 close all clear all % Let's program exact soln for i=1:5 x_exact(i)=0.5*i-0.5; y_exact(i)=-x_exact(i)-1+exp(x_exact(i)); end plot(x_exact,y_exact,'b') % now for Euler's h=0.5 x_EM(1)=0; y_EM(1)=0; for i=2:5 x_EM(i)=x_EM(i-1)+h; y_EM(i)=y_EM(i-1)+(h*(x_EM(i-1)+y_EM(i-1))); end hold on plot (x_EM,y_EM,'r') % Improved Euler's Method h=0.5 x_IE(1)=0; y_IE(1)=0; for i=2:1:5 kA=x_IE(i-1)+y_IE(i-1); u=y_IE(i-1)+h*kA; x_IE(i)=x_IE(i-1)+h; kB=x_IE(i)+u; k=(kA+kB)/2; y_IE(i)=y_IE(i-1)+h*k; end hold on plot(x_IE,y_IE,'k')arrow_forward
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