Answer:
$3.03
Step-by-step explanation:
7x + $3.60 = $24.81
Subtract $3.60 from both sides of the equation:
7x + $3.60 - $3.60 = $24.81 - $3.60
7x = $24.81 - $3.60
7x = $21.21
Divide each side by 7:
(7x/7) = ($21.21/7)
x = ($21.21/7)
x = $3.03
A= 12x-4(3x+2)/2. 36x2+24x-12x-8. 36x2+12x-8/2. 18x2+6x-4.
Answer:
Since I'm rushing, please give brainliest
Step-by-step explanation:
It is 23.57, trust me :D
The purpose of the tensor-on-tensor regression, which we examine, is to relate tensor responses to tensor covariates with a low Tucker rank parameter tensor/matrix without being aware of its intrinsic rank beforehand.
By examining the impact of rank over-parameterization, we suggest the Riemannian Gradient Descent (RGD) and Riemannian Gauss-Newton (RGN) methods to address the problem of unknown rank. By demonstrating that RGD and RGN, respectively, converge linearly and quadratically to a statistically optimal estimate in both rank correctly-parameterized and over-parameterized scenarios, we offer the first convergence guarantee for the generic tensor-on-tensor regression. According to our theory, Riemannian optimization techniques automatically adjust to over-parameterization without requiring implementation changes.
Learn more about tensor-on-tensor here
brainly.com/question/16382372
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I can't see it well sorry
