Mathematics, 29.02.2020 06:05 maxpaz782
(1) Compute the coefficient matrix XT X for the normal equations, and save its value as normal_coef1. Recall, the transpose of a NumPy array A can be obtained by np. transpose(A), while the matrix produce of two (appropriately- sized) NumPy arrays A and B is obtained by np. matmul(A, B) or [email protected] (2) Compute the right-hand side XT Y of the normal equations, and save its value as normal_vect1.
Answers: 2
Mathematics, 21.06.2019 21:30
Aye asap pls ! markin da brainiest too ! btw da step choices are all add, distribute, divide, n subtract
Answers: 2
Mathematics, 21.06.2019 23:00
36x2 + 49y2 = 1,764 the foci are located at: (-√13, 0) and (√13,0) (0, -√13) and (0,√13) (-1, 0) and (1, 0)edit: the answer is (- the square root of 13, 0) and (the square root of 13, 0)
Answers: 1
(1) Compute the coefficient matrix XT X for the normal equations, and save its value as normal_coef1...
Mathematics, 10.02.2021 17:40
Mathematics, 10.02.2021 17:40
Geography, 10.02.2021 17:40
English, 10.02.2021 17:40
Mathematics, 10.02.2021 17:40
Mathematics, 10.02.2021 17:40
English, 10.02.2021 17:40
History, 10.02.2021 17:40
English, 10.02.2021 17:40