(A) Construct the matrix equation used to find the least squares best fit of the data (-2, – 2), (1, 1), (-2, 1), (1, 1). to the formula c- +q+c%z = y. (B) Construct the matrix equation used to find the least squares best fit of the data (0, 0, 3), (-3, – 3, 3), (-3, – 3, – 1), (2, 0, – 2). to the formula cI +qy+cxy = z. (C) Construct the matrix equation used to find the least squares best fit of the data (0, – 2), (, 3), (G, - 2) to the formula co sin(z) +q cos(z) = y
(A) Construct the matrix equation used to find the least squares best fit of the data (-2, – 2), (1, 1), (-2, 1), (1, 1). to the formula c- +q+c%z = y. (B) Construct the matrix equation used to find the least squares best fit of the data (0, 0, 3), (-3, – 3, 3), (-3, – 3, – 1), (2, 0, – 2). to the formula cI +qy+cxy = z. (C) Construct the matrix equation used to find the least squares best fit of the data (0, – 2), (, 3), (G, - 2) to the formula co sin(z) +q cos(z) = y
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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