Answer:
100C=m
Step-by-step explanation:
If 250 copies are made in 2.5 minutes, you get the equation:
250c=2.5m
divide by 2.5 on both sides and you get:
100c=m
So in m minutes, 100c copies are made.
Answer:
159
Step-by-step explanation:
k (9) = (2 * 
) - 3
= (2 * 81) - 3
= 162 - 3
= 159
answer:
a. scarf costs today = $6
b. scarf costs 3 days from now = $3
step-by-step explanation:
- 1/2 off means you would multiply the amount by 1/2 then subtract
a. original price of scarf: $12
12 X 1/2 = 6
12 - 6 = 6
— scarf costs today = $6
- do the same thing but this time it is a different number
b. 12 X 3/4 = 9
12 - 9 = 3
— scarf costs 3 days from now = $3
In Euclidean geometry, a parallelogram is a simple quadrilateral with two pairs of parallel sides. The opposite or facing sides of a parallelogram are of equal length and the opposite angles of a parallelogram are of equal measure.
Hope this helps :)
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
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