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Write a Matlab code implementing the inverse power method to compute approximations of the smallest eigenvalue λ1 = π2 of L and corresponding eigenfunctions. Use N = 500 and apply the algorithm to h-2TN. Start with a random initial guess, use normalization in the 2-norn, and stope when the difference of two subsequent approximate eigenvectors has 2-norm less than some prescribed tolerance τ. (e. g. τ = 10-6).
(i) Report the number of iterations performed.
(ii) Compared approximations with exact eigenvalue/eigenvector pair.
(iii) Use matalb to plot the computed eigenvector.
Write the commands that will create the matrix.
Natural frequencies of vibration of a uniform beam clamped at one end and free at the other are solutions of the equation - output explain how you know your program has actually found the correct "physically meaningful" roots within the expected err..
Design and explain a computer-based simulation model which you will use to estimate the probability that among 25, 50, 75, 100, 500, or 1000 randomly chosen people, at least 2 people share the same birthday.
Value for the side of the octagonal prism, and a scalar value for the height of the octagonal prism. Generate the x,y,z arrays that define the 9 faces of the pyramid (octagonal base and 8 triangles. Use fill3 command to create the faces (faces wit..
Question is that" Simulate and compare the BER of a 16-PSK system and a 16-QAM system without Grey coding and Eb/N0=0,2,4,6,8,10 dB. "
dydt te3t - 2y 0 le t le 1 y0 0approximate the solution to the above initial value problem usinga modified-euler
Write a MATLAB routine A = ChowLiu(X) where X is a D × N data matrix containing a multivariate datapoint on each column that returns a Chow-Liu maximum likelihood tree for X.
Prepare for Project you should carefully read the Notes on Trajectory Formation that are available on Moddle. As you read them, you should try out the concepts in MATLAB.
Implement Runge-Kutta integration scheme with Δ = 0:005 for system (2),(3).Plot the phase curves (trajectories x(t); y(t) in the phase/state space).
Consider the random process Z(t) = Acos(pi t), where A is a random variable that follows the standard normal Gaussian.
Write a MATLAB code to create the global stiffness matrix for a problem with 6 unconstrained degrees of freedom for any linear elastic two dimensional trusses.
Write a program to test three edge detection algorithms (available in Matlab ) and one feature extraction algorithm (Harris). Students should try different parameters (if appropriate) and find the code that gives the best result for each image
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