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DO NOT write out solutions on paper and solve by hand or your response will be thumbed down. Paste Matlab code to execut
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DO NOT write out solutions on paper and solve by hand or your response will be thumbed down. Paste Matlab code to execut
DO NOT write out solutions on paper and solve by hand or your
response will be thumbed down.
Paste Matlab code to execute instructions.
1.) Regression (max 20 Points) Consider a triangle with the angles a, b, and y. The values of these angles were estimated via several independent measurements. a = 70deg, 71 deg, 72deg, 72deg, 70deg B = 80deg, 82deg y = 53deg, 47deg (a) Set up linear system of equations “Ax = b” that can be used to estimate the final value of the angles a, b, and y with Gaussian regression using the constrain a +B+ y = 200deg. Provide the matrix A, the vector x, and the vector b (do not calculate a, b, and y). (b) Provide the number of equations and the number of unknowns for the problem "Ax = b" that you have obtained in (a). (c) Describe in your own words how you would transfer the linear systems of equations "Ax=b" into an equivalent system of linear equations that can be solved with Gaussian Elimination. (do not calculate a, b, and y)
response will be thumbed down.
Paste Matlab code to execute instructions.
1.) Regression (max 20 Points) Consider a triangle with the angles a, b, and y. The values of these angles were estimated via several independent measurements. a = 70deg, 71 deg, 72deg, 72deg, 70deg B = 80deg, 82deg y = 53deg, 47deg (a) Set up linear system of equations “Ax = b” that can be used to estimate the final value of the angles a, b, and y with Gaussian regression using the constrain a +B+ y = 200deg. Provide the matrix A, the vector x, and the vector b (do not calculate a, b, and y). (b) Provide the number of equations and the number of unknowns for the problem "Ax = b" that you have obtained in (a). (c) Describe in your own words how you would transfer the linear systems of equations "Ax=b" into an equivalent system of linear equations that can be solved with Gaussian Elimination. (do not calculate a, b, and y)
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